Transform healthcare with us.

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change.

This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.

Join us in shaping the future of healthcare.

About Forward-Deployed Engineering at QH. Data Modernization is a forward-deployed function. Every role on this team — leadership and IC alike — works directly with health system customers, on-site and in their environments, throughout the engagement. This is not a back-office data role: you'll sit with the customer's data and IT teams, present your work to their technical leadership, and be accountable for outcomes they can see. All roles are Senior/Staff level or higher.

Note on platform specialization: We are hiring Senior / Staff Data Engineers who each own deep expertise in one of our three target platforms — Databricks, Snowflake, or Microsoft Fabric. This single posting covers all three seats; we'll match you to the platform where your depth is strongest during the process. The core of the role — landing health system data in a modern lakehouse and serving as the platform-specific technical lead on an engagement — is the same across all three.

Job Summary

This is the role where the data actually moves. As a Senior Forward Deployed Engineer on the Data Modernization team, you own the platform-specific build that takes a health system from legacy connectivity — flat files, manual SFTP, a half-finished Clarity database — to a modern, AI-ready lakehouse that can serve our agentic AI workflows at full speed.

You are the deep platform expert for your stack. During an active engagement, you serve as the platform-specific technical lead under the Principal Solutions Architect: you own the ingestion, the medallion architecture, the governance configuration, and the data-sharing pattern on your platform. Between engagements, you sustain our production environments, build the accelerators and reusable IP that make the next engagement faster, support pre-sales technical discovery, and cross-train on the other platforms so the team stays flexible.

These are time-boxed, high-stakes builds. A greenfield foundation goes from zero to a live AI workflow in roughly ten weeks; an acceleration engagement folds hundreds of Clarity tables into an existing lakehouse on weeks-to-months timelines. You'll ship production-grade work in a regulated environment, where "done" means it's governed, documented, and ready to hand to the integration team — not just that the pipeline ran once.

Key Responsibilities

• Work forward-deployed inside the customer's environment: partner directly with their data and IT teams, present design decisions and progress to their technical leadership, and represent QH on-site during kickoffs and key milestones

• Own platform-specific architecture and build for your stack during active engagements, as technical lead under the Principal Solutions Architect

• Design and implement ingestion from EHR and source systems (Epic Clarity / Caboodle, FHIR, ERP, scheduling, claims) into a medallion lakehouse

• Build and harden change-data-capture, transformation, and orchestration pipelines that meet engagement timelines

• Configure governance, access control, and the data-sharing pattern that hands clean, AI-ready data to QH's platform (Delta Sharing, Fabric External Sharing, Snowflake Reader Accounts, or equivalent)

• Sustain production environments handed off from prior engagements, and develop reusable accelerators and IP that compress the next build

• Support pre-sales technical discovery and source-data assessment alongside the Principal SA

• Ensure every environment meets handoff criteria for the Client Integration team — governed, documented, reproducible

• Cross-train on the other two platforms to keep the team flexible across single- and multi-engagement states

Required Qualifications

• 8+ years in data engineering or data platform roles, at a Senior or Staff IC level

• Client-facing maturity — comfortable working on-site in a customer's environment and presenting technical work to their data and IT leadership

• Deep, hands-on expertise in at least one of Databricks, Snowflake, or Microsoft Fabric (see platform note above)

• Has shipped production data workloads in a regulated environment (HIPAA, HITRUST, or comparable)

• Strong in Python and distributed data processing (PySpark or equivalent), plus SQL and modern transformation tooling

• Comfortable as the sole platform expert on an engagement — you can own a build, not just contribute to one

• Infrastructure-as-code fluency (Terraform) and CI/CD discipline (GitHub Actions)

Platform-Specific Depth (own one)

• Databricks: Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables, Photon. Bonus: production Databricks experience inside a health system or Databricks partner consultancy.

• Snowflake: Snowpark, Reader Accounts, Streams & Tasks, Dynamic Tables, Snowpipe, strong dbt fluency. Bonus: Epic Clarity inside Snowflake.

• Microsoft Fabric: OneLake, SQL Server Mirroring for CDC, Fabric Data Factory, Fabric External Sharing, Iceberg shortcuts. Bonus: prior Azure Synapse / ADF / Databricks-on-Azure background. (The rarest and most sought-after of the three — Fabric is the newest platform.)

Ideal Experience

• Resident / customer-success solutions architect or engineer from a cloud data platform vendor (Databricks, Snowflake, Microsoft FastTrack / CSU)

• Senior data engineer from a health system running on your platform, or from a platform-partner consultancy

• Familiarity with EHR data models and the realities of on-prem-to-cloud CDC

• Background in consulting, professional services, or data platform implementation in regulated industries (healthcare strongly preferred; fintech a strong adjacent)

Desirable Skills

• Ownership: You're the one person on the engagement who deeply knows this platform, and you carry that weight without needing a second set of hands on every decision.

• Pragmatism: You know the difference between architecturally ideal and deliverable-in-ten-weeks, and you optimize for the latter without creating technical debt.

• Reusability mindset: You build the second engagement's accelerator while delivering the first, because you've felt the cost of bespoke-everything.

• Clinical-data literacy: Clarity and Caboodle don't scare you; you understand why health system data is messy and you've untangled it before.

• Cross-platform curiosity: Your depth is in one stack, but you're glad to learn the other two so the team can flex across engagements.

Technical Environment

• Databricks (primary), Microsoft Fabric, and Snowflake — fully platform-agnostic on acceleration engagements

• PySpark and Python with type-safe patterns and modern frameworks

• GitHub Actions + Terraform for CI/CD and Infrastructure as Code

• Healthcare data formats including FHIR, Epic Clarity / Caboodle, and other EHR schemas

• HIPAA / HITRUST-regulated cloud environments on Azure and AWS

Why Join Qualified Health?

This is an opportunity to join a fast-growing company and a world-class team that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

The work here is unusually high-leverage: every health system you modernize removes the single biggest bottleneck to deploying AI across our entire partner base. You'll be the named platform expert on real, in-flight engagements — not one engineer of fifty, but the person who owns the build.

Our employees are integral to achieving our goals, so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options, and an inclusive environment that fosters creativity and innovation.

Our Commitment to Diversity

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits

The base pay range for this role is between $180,000 and $230,000. Final offer depends on your skills, qualifications, experience, platform specialization, and location. This role is also eligible for equity, benefits, unlimited PTO.

Transform healthcare with us.

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change.

This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.

Join us in shaping the future of healthcare.

Job Summary:

The Director of Data Modernization is the technical architect and engineering leader across all of Qualified Health's data modernization engagements. You'll walk into a health system's data environment — which might be anything from a well-maintained EHR reporting database to a tangle of flat files and manual SFTP processes — and design the modern cloud data platform that will replace it.

This is the highest-leverage work on the team. Every health system you modernize from legacy connectivity to a modern data sharing pattern reduces their ongoing integration effort dramatically. You're not just building infrastructure — you're removing the single biggest bottleneck to AI deployment across our entire partner base.

You'll own the technical architecture playbook, make design decisions across concurrent engagements, lead a team of data engineers and cloud/infrastructure engineers, review all engineering output, and personally drive the most complex builds. The Engagement Manager handles the partner relationship and project management — you handle the engineering. Together, you run the engagement.

Key Responsibilities:

• Own the technical architecture for modernization engagements: Azure Databricks design, data landing zones, networking, security controls

• Lead and develop a team of data engineers and cloud/infrastructure engineers

• Lead technical discovery and source data assessments for new engagements

• Review and approve all engineering deliverables across concurrent engagements

• Personally drive architecture and build for the most complex engagements

• Set engineering quality standards and drive architectural decisions across the modernization practice

• Maintain and evolve the technical engagement playbook

• Ensure environments meet handoff criteria for the Client Integration team

• Collaborate with Data Mapping Analysts on source data assessment and validation

• This role requires travel to healthcare client sites for engagement kickoffs, technical discovery sessions, and key milestones. Candidates should be prepared for 15-25% travel, depending on active engagements.

Required Qualifications:

• Education: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred.

• Required Experience:

  • 6+ years in data engineering or data platform roles, with demonstrated technical leadership

  • Deep Azure expertise: Databricks, ADLS2, Azure networking, managed identities, Terraform/Bicep

  • Experience with data platform design and deployment (greenfield builds)

  • Client-facing experience — comfortable leading technical conversations with health system IT teams

Preferred Skills:

• Familiarity with EHR data sources and clinical data models (Epic Clarity/Caboodle preferred)

• Experience with data sharing protocols (Delta Share, Fabric External Sharing, or similar)

• Background in consulting, professional services, or data platform implementation

• Experience designing data architectures for HIPAA-regulated environments

• Track record of managing technical quality across concurrent engagements

• Architectural Judgment: You can walk into an unfamiliar data environment, assess what exists, identify what's missing, and design a target state architecture that is both technically sound and achievable within a time-boxed engagement

• Hands-On Leadership: You lead by example — reviewing code, pairing with engineers on tough problems, and shipping your own work alongside the team

• Pragmatism: You know the difference between "architecturally ideal" and "what we can actually deliver in the engagement window" — and you optimize for the latter without creating technical debt

• Client Presence: You're comfortable in a room with a health system CIO or VP of IT, explaining technical decisions in business terms

Documentation: You maintain engagement playbooks and architecture patterns so the next engagement benefits from what you learned in the last one

Technical Environment:

Our data infrastructure is built on modern cloud technologies including:

• Azure Databricks + Data Factory (plus Fabric and Snowflake integrations)

• PySpark for distributed data processing

• GitHub Actions + Terraform for CI/CD and Infrastructure as Code

• Python with type-safe patterns and modern frameworks

• Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas

Why Join Qualified Health?

This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.

Our Commitment to Diversity

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits: The pay range for this role is between $165,000 and $200,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

Transform healthcare with us.

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change.

This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.

Join us in shaping the future of healthcare.

Job Summary

The Staff / Principal Forward-Deployed Architect is the senior-most technologist in our Data Modernization Services function — and the single named architect across every engagement we run. You own the reference architecture that defines how we land an EHR-anchored, AI-ready data foundation on Databricks, Snowflake, and Microsoft Fabric, and you stay close enough to the work to ship code yourself when an engagement calls for it.

The work is unusually high-leverage. Every health system we modernize — from legacy reporting databases and SFTP-driven feeds to a modern lakehouse with Delta Sharing, Reader Accounts, or Fabric External Sharing — collapses the path from "data exists somewhere" to "agentic AI workflows can safely run against it." You're the person who decides what that target state looks like, defends those choices in front of a customer CTO, and then leads the team that builds it on a 10-week greenfield clock.

You'll lead a tight bench of platform-specialist Senior Data Engineers (one each on Databricks, Snowflake, and Fabric) plus a Cloud/Platform Engineer. You're the public face of the practice in pre-sales discovery — and during active delivery, you're the engagement-embedded tech lead. Strong opinions, loosely held. Equally comfortable in a CTO conversation and a Terraform repo.

This posting spans both Staff and Principal levels; the offer level is calibrated to depth of experience and breadth of demonstrated technical leadership.

Key Responsibilities

• Own the cross-platform reference architecture for the Modern Data Platform across Databricks, Snowflake, and Fabric — and evolve it as platforms and partners change

• Serve as the engagement-embedded tech lead on the active engagement: architecture, design reviews, and hands-on build on the hardest parts

• Lead technical discovery with prospective health system partners — assess source environments (Epic Clarity/Caboodle, Cogito on Cloud, Bulk FHIR, flat-file SFTP) and design a defensible target state

• Lead and develop a team of platform-specialist Senior Data Engineers and a Cloud/Platform Engineer; set the technical bar

• Review and approve all engineering deliverables — IaC, ingestion patterns, data sharing topology, security controls

• Partner with the Engagement Manager and Field CDO to scope SOWs, defend timelines, and surface technical risk before it becomes schedule risk

• Coordinate technical handoffs to the QH Platform team via Delta Sharing / Reader Account so AI workflows can be deployed against the modernized foundation

• Maintain the technical engagement playbook and a library of accelerators so each engagement starts further along than the last

• Carry the technical narrative in pre-sales: present to CTOs, CDOs, and enterprise architects; convert technical credibility into signed work

Required Qualifications

• Education: Bachelor's degree in Computer Science, Engineering, or a related field. Master's preferred.

• Required Experience:

  • 10+ years in data engineering, data platform architecture, or solutions architecture roles, with demonstrated technical leadership of multi-person teams

  • Hands-on production experience across at least two of Databricks, Snowflake, and Microsoft Fabric — and the technical curiosity and pattern-recognition to credibly own the third

  • Three or more enterprise lakehouse / cloud data platform implementations delivered in regulated industries

  • Deep cloud fluency, with Azure as the most common engagement substrate: networking, identity, key management, IaC (Terraform or Bicep), and observability

  • Client-facing experience leading executive technical conversations — comfortable in a room with a health system CTO, CDO, or CISO

Ideal Experience

• Healthcare data fluency: Epic Clarity / Caboodle, Cogito on Cloud, Bulk FHIR, HL7, claims data, and the realities of on-prem-to-cloud CDC

• Direct experience with modern data sharing patterns: Delta Sharing, Snowflake Reader Accounts, Fabric External Sharing, Iceberg shortcuts

• HIPAA / HITRUST-regulated environments; opinions on PHI segmentation, BAA scope, and audit posture

• Background in a Databricks / Snowflake / Microsoft Fabric professional services or field engineering org, a healthcare-focused consultancy, or a large IDN data platform team

• Track record of architecting under a time-boxed engagement (e.g., 8–10 week greenfield delivery) rather than open-ended programs

Desirable Skills

• Multi-Platform Judgment: You don't get religious about Databricks vs Snowflake vs Fabric. You can articulate when each is the right call for a given customer's data gravity, existing investments, and roadmap — and design accordingly

• Architect Who Still Builds: You lead by example. You review IaC and PySpark, you pair on the hardest design problems, and you'll personally drive the build on the gnarliest part of an engagement instead of throwing it over the wall

• Pragmatism: You know the difference between the architecturally ideal target and what a 10-week engagement can realistically land — and you optimize for delivered value without quietly accumulating technical debt

• Pre-Sales Presence: You can walk into a discovery session cold, ask the right five questions, and leave with a credible architectural sketch. You convert technical depth into customer confidence

• Strong Opinions, Loosely Held: You bring a point of view to every architecture review, defend it well, and update it cleanly when the customer environment or new information argues against you

• Documentation Discipline: You treat the playbook as a product. Every engagement leaves behind patterns, accelerators, and decisions the next engagement inherits

Travel Requirements

This role requires travel to healthcare client sites for engagement kickoffs, technical discovery sessions, on-site working weeks, and key milestones. Candidates should be prepared for 25–35% travel, depending on active engagements and pre-sales pipeline.

Why Join Qualified Health?

This is an opportunity to join a fast-growing company and a world-class team that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

This role specifically is one of the highest-leverage technical seats in the company. You're not maintaining one platform — you're defining how an entire generation of health systems gets onto a modern, AI-ready data foundation. Every engagement you architect compounds across our partner base.

Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.

Our Commitment to Diversity

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits

The pay range for this role is between $190,000 and $250,000, and will depend on your skills, qualifications, and experience. This role is also eligible for equity and benefits.

Transform healthcare with us.

At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.

This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.

Join us in shaping the future of healthcare.

Job Summary:

Qualified Health is seeking a Forward Deployed Engineer to serve as a technical implementation specialist and forward-deployed consultant for our healthcare data integration and AI initiatives. This is a fast-paced, high-ownership role for someone who thrives in dynamic environments, takes initiative, and drives outcomes without waiting to be told what to do next.

In this hands-on consulting role, you’ll design and build robust data pipelines that transform raw healthcare data from diverse sources (Epic, LIMS, PACS, SharePoint, etc.) into production-ready datasets powering our AI platform—while also acting as a trusted technical advisor to our health system partners. You will leverage AI-assisted code development to accelerate delivery and set a new standard for what’s possible at the intersection of healthcare data and artificial intelligence.

We are looking for critical thinkers who can independently diagnose ambiguous problems, architect creative solutions, and communicate technical findings clearly to both technical and non-technical audiences. You must be comfortable operating with a consultant’s mindset—adapting quickly to new partner environments, earning trust through quality of work, and delivering results under tight timelines.

You own: Technical implementation, ETL development, data quality validation, pipeline construction, troubleshooting, and production deployment execution, and partner-facing technical consulting

Manager owns: Partner relationships, requirements gathering, timeline management, stakeholder communication, issue escalation, and ensuring delivery meets expectations

Together you deliver: Successful data integrations that meet partner needs on time with high quality

This is a technical role for someone who loves working with data, enjoys solving puzzles, and takes pride in building reliable, production-grade solutions.

Key Responsibilities:

Technical Implementation & Development

• Design and build ETL pipelines using PySpark, SQL, and Azure data services to process healthcare data from multiple source systems

• Execute data extraction and transformation operations on complex healthcare datasets, ensuring accuracy and compliance with established standards

• Develop data quality validation frameworks to identify and resolve issues during integration, QC, and backtesting phases

• Troubleshoot technical issues including data schema mismatches, transformation logic errors, and performance bottlenecks -- independently diagnosing root causes and driving resolution

• Build reusable data components and standardized integration patterns that accelerate future implementations

• Optimize pipeline performance for large-scale healthcare datasets, ensuring efficient processing and resource utilization

• Implement data validation rules specific to healthcare contexts (e.g., clinical code validation, temporal logic checks, referential integrity)

• Write and maintain technical documentation for data pipelines, transformations, and integration patterns

• Support production deployments by coordinating with infrastructure teams and conducting final testing

• Leverage AI-assisted code development tools to accelerate delivery and improve solution quality

Client Consulting & Collaboration

• Serve as a trusted technical advisor to health system partners, translating complex data and AI concepts into clear, actionable guidance

• Partner with Data Integration Manager to translate partner requirements into precise technical specifications

• Participate in technical discussions with partner IT teams to understand data schemas, access methods, and integration constraints

• Provide expert guidance on data mapping specifications, transformation approaches and architecture decisions

• Identify data quality issues and work with Manager to coordinate resolution with partners

• Communicate technical findings from QC and backtesting clearly to both technical and non-technical stakeholders

• Adapt consulting approach and communication style to the culture and maturity of each partner enviornment

• Contribute to continuous improvement of tools, processes, and technical standards

Product Prototyping & Innovation

• Support rapid prototyping of new AI-powered product features and data capabilities in close collaboration with product and engineering teams

• Translate partner use cases and field insights into prototype solutions that demonstrate the potential of the Qualified Health platform

• Build and iterate on proof-of-concept integrations and analytical tools to test new approaches before full-scale implementation

• Leverage AI-assisted development practices to compress prototyping cycles and explore solutions at speed

• Document learnings and outcomes from prototyping efforts to inform product roadmap decisions and reusable patterns

• Bring a builder’s mindset to ambiguous problem spaces, moving quickly from idea to working demonstration

Required Qualifications:

• 5+ years of experience in data analytics, data engineering, or solution delivery roles, with demonstrated expertise in data integration and ETL processes

• Strong analytical toolkit with proficiency in:

  • PySpark for distributed data processing

  • Advanced SQL for data querying and transformation

  • Excel for data analysis and reporting

• Production ETL experience: Track record of building and maintaining production-grade data pipelines with proper error handling and monitoring

• Data quality focus: Experience implementing validation frameworks and troubleshooting data quality issues

• Azure cloud platform: Hands-on experience with Azure Databricks, Data Factory, Blob Storage, Delta Lake

• Consultant mindset: ability to earn trust quickly, communicate complex ideas to diverse audiences, and deliver value in client-facing environments 

• Ownership Mentality: takes full accountability for the quality and outcome of your work from scoping through production

• Attention to detail: Commitment to accuracy, testing, and delivering reliable solutions

• Collaborative working style: Comfortable partnering with non-technical colleagues and adapting to feedback

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field

Preferred Skills:

• Epic Clarity experience: Direct work with Epic's relational database structure and clinical data models

• Healthcare data experience: Prior work with healthcare datasets (EHR, claims, clinical, lab data)

• Healthcare data standards knowledge: Understanding of FHIR, HL7v2, DICOM, LOINC, SNOMED, ICD-10

• Healthcare compliance awareness: Understanding of HIPAA requirements and healthcare data security best practices

• Data warehouse/lakehouse experience: Familiarity with dimensional modeling and modern data architecture patterns

• DevOps practices: Experience with Git, CI/CD pipelines, and infrastructure-as-code

• Performance tuning: Proven ability to optimize complex data transformations for scale

• LIMS/PACS experience: Prior work integrating laboratory or imaging systems data

• Multiple data format fluency: Experience with JSON, XML, Parquet, CSV, and other healthcare interchange formats

• Experience with AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate coding and prototyping

• Prior experience in a client-facing technical consulting, forward deployment, or solutions engineering role

Technical Environment:

Our data infrastructure is built on modern cloud technologies including:

• Azure Databricks + Data Factory (plus Fabric and Snowflake integrations)

• PySpark for distributed data processing

• GitHub Actions + Terraform for CI/CD and Infrastructure as Code

• Python with type-safe patterns and modern frameworks

• AI-assisted development tooling for accelerated engineering

• Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas

What Success Looks Like:

• High-quality data pipelines delivered on schedule with thorough testing and documentation

• Proactive issue identification with technical problems caught and resolved before impacting partners

• Reusable components that reduce implementation time for subsequent integrations

• Clean production deployments with minimal post-launch issues

• Technical credibility with partner IT teams based on quality of work

• Efficient troubleshooting with quick diagnosis and resolution of data quality issues

Impact & Growth Opportunity:

As a Forward Deployed Engineer at Qualified Health, you'll build the data infrastructure that powers AI-driven insights for major health systems. Your work directly enables better patient care by ensuring high-quality, reliable data flows into clinical decision support tools. This role offers deep technical learning in healthcare data, exposure to diverse health system architectures, and growth potential into senior technical or platform architecture roles as we scale.

Why Join Qualified Health?

This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.

Our Commitment to Diversity

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits: The pay range for this role is between $140,000 and $200,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

Transform healthcare with us.

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change.

This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.

Join us in shaping the future of healthcare.

Job Summary:

The Engagement Manager for Data Modernization owns the delivery lifecycle for one of the most strategically important initiatives at Qualified Health. Many of our 15+ health system partners are still running legacy data infrastructure that creates significant slowdowns in AI deployment. You'll lead the engagements that change that — helping partners stand up modern Azure Databricks environments, land their EHR and source system data in a cloud-native architecture, and unlock the ability to deploy our agentic AI workflows at full speed.

You are the single point of accountability for each engagement — from scoping and SOW alignment through milestone delivery and handoff to our integration team. You'll run the weekly status calls, manage partner expectations, coordinate across engineering, mapping, and infrastructure resources, and ensure every engagement delivers on its promises.

This is not a traditional PMO role. You'll be managing deeply technical engagements where the deliverable is a functioning data platform. You need enough technical fluency to understand what's happening at the infrastructure and data layer, ask the right questions, and spot risks before they become blockers — all while maintaining the partner relationship and keeping the project on track.

Key Responsibilities:

• Own the modernization engagement lifecycle: scoping, SOW alignment, kickoff, milestone tracking, status reporting, and handoff

• Serve as primary point of contact for partner stakeholders during engagements

• Coordinate across engineering, data mapping, cloud/infrastructure, and client integration resources

• Manage engagement timelines, risks, and dependencies across 2-3 concurrent engagements

• Run weekly status calls with partner teams

• Ensure clean handoff to the Client Integration team post-modernization

• Build and refine the engagement playbook for repeatability and scalability

• Track capacity across concurrent engagements and flag resource conflicts early

Required Qualifications:

• Bachelor's degree in Engineering, Business, Information Technology, or a related field

• 4-7 years in technical project/program management, professional services delivery, or technical consulting

• Experience managing data platform, cloud infrastructure, or data integration projects

• Sufficient technical fluency to engage in conversations about Azure, Databricks, data pipelines, and networking

• Strong communication skills: clear status reporting, expectation management, risk escalation

• Ability to travel for engagement kickoffs, key milestones and on-site working sessions 20-30% of the time

Preferred Skills:

• Healthcare IT or health system experience — understanding of how health systems operate, their procurement and IT decision-making dynamics

• Experience managing concurrent engagements (2-3 at a time) with different partners and timelines

• Background in a consulting firm, systems integrator, or professional services organization

• Experience building engagement playbooks and delivery processes from scratch

• Partner Management: You know how to manage expectations, deliver difficult messages when timelines shift, and maintain trust even when things get complicated

• Technical Fluency: You can't write the Terraform, but you understand what it does and you can tell when a technical conversation is going sideways

• Organizational Rigor: You manage milestones, action items, and resource allocation across concurrent engagements without dropping anything

• Process Building: You're excited by the opportunity to build the engagement playbook, not just follow one — because the playbook doesn't fully exist yet

• Adaptability: Comfort working in a startup where your role will evolve as the data modernization service line matures

Technical Environment:

Our data infrastructure is built on modern cloud technologies including:

• Azure Databricks + Data Factory (plus Fabric and Snowflake integrations)

• PySpark for distributed data processing

• GitHub Actions + Terraform for CI/CD and Infrastructure as Code

• Python with type-safe patterns and modern frameworks

• Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas

Why Join Qualified Health?

This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.

Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.

Our Commitment to Diversity

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits: The pay range for this role is between $130,000 and $165,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

Transform healthcare with us.

At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.

This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.

Join us in shaping the future of healthcare.

Job Summary:

Qualified Health is seeking a Director of Forward Deployed Engineering to own the end-to-end data relationship with some of the most prestigious health systems in the country. In this fast-paced, high-ownership role, you will lead a pod of Healthcare AI Solutions Engineers—forward-deployed consultants who design, build, and operate the data infrastructure powering our AI-driven clinical and operational workflows.

Your pipelines don’t just move data—they directly enable AI systems that help clinicians make better decisions for their patients. As the leader of this team, you are accountable for delivery quality, partner satisfaction, and the professional growth of every engineer in your pod. You’ll leverage AI-assisted development practices to drive speed and quality, and you’ll set the standard for what’s possible at the intersection of healthcare data and artificial intelligence.

This role demands executive-level judgment, deep technical credibility, and the consultant’s ability to earn trust quickly and adapt across complex partner environments. You take ownership, think critically, and solve problems independently—while empowering your team to do the same.

Key Responsibilities

• Own the end-to-end data integration for 2–4 health system partners—from initial onboarding through live production operations—with full accountability for delivery timelines and partner satisfaction

• Lead a pod of 2–3 Forward Deployed Engineers, mentoring and developing forward-deployed consultants while delivering against tight partner timelines (initial rollout target: <90 days from kickoff)

• Serve as the primary technical relationship owner for your partners’ data and IT teams—running orientation calls, scoping sessions, and executive check-ins at the CTO/CMIO level, and bringing a consultant’s ability to communicate complex technical decisions to senior stakeholders

• Design and build data pipelines that ingest Epic Clarity data, transform it through FHIR standards, and deliver AI-ready datasets via Delta Lake and Delta Sharing—the foundation for everything the product does; leverage AI-assisted development tooling to accelerate delivery and improve quality

• Collaborate with the Product, AI Engineering and Data Science teams to scope new workflow data requirements, support product prototyping initiatives, and ensure pipeline outputs support backtesting, production inference, and evaluation

• Drive continuous improvement of integration patterns, tooling, and technical standards—building reusable components that accelerate future deployments and raise the quality bar across the team

Required Qualifications:

• 7+ years as a data engineer or engineering leader, with experience building production data pipelines, leading technical teams, and owning client relationships end-to-end

• Strong expertise in Epic Clarity/Caboodle data models—you know your way around the clinical tables that power healthcare AI

• Proficiency with Databricks (PySpark, Delta Lake), SQL Server, and Azure cloud services (ADLS, Key Vault, ADF)

• Experience with FHIR/HL7 healthcare interoperability standards and data transformation patterns

• Executive-level client-facing communication—you can present data architecture decisions to a health system CTO, scope a new workflow with a CMIO, and debug a complex SQL query in the same day

• Consultant mindset: the ability to earn partner trust quickly, adapt to new environments, and deliver high-quality outcomes under tight timelines

• Data quality obsession—you build validation frameworks and monitoring, not just pipelines; you catch problems before the partner does

• Ownership mentality: takes full accountability for team delivery, partner outcomes, and technical quality from scoping through production

• Critical thinking: applies structured reasoning to evaluate options, anticipate risks, and make sound decisions independently under uncertainty

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field

Preferred Skills:

• Experience with healthcare data from multiple EHR vendors (Epic, Cerner, eCW, athenahealth, NextGen)

• Terraform or infrastructure-as-code experience for tenant provisioning

• Background in healthcare consulting, EHR implementation, forward deployment, or health system IT

• Experience with real-time data processing (HL7 feeds, FHIR subscriptions, streaming pipelines)

• Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate engineering and prototyping

• Prior experience managing or mentoring forward-deployed engineers or technical consultants

Technical Environment:

Our data infrastructure is built on modern cloud technologies including:

• Azure Databricks + Data Factory (plus Fabric and Snowflake integrations)

• PySpark for distributed data processing

• GitHub Actions + Terraform for CI/CD and Infrastructure as Code

• Python with type-safe patterns and modern frameworks

• Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas

What Success Looks Like:

• High-quality data pipelines delivered on schedule with thorough testing and documentation

• Proactive issue identification with technical problems caught and resolved before impacting partners

• Reusable components that reduce implementation time for subsequent integrations

• Clean production deployments with minimal post-launch issues

• Technical credibility with partner IT teams based on quality of work and consulting prescence

• A high-performing pod of Healthcare AI Solutions Engineers who grow under your leadership and consistently deliver partner outcomes.

Impact & Growth Opportunity:

As a Director, Forward Deployed Engineering at Qualified Health, you'll build the data infrastructure that powers AI-driven insights for major health systems. Your work directly enables better patient care by ensuring high-quality, reliable data flows into clinical decision support tools. This role offers deep technical learning in healthcare data, exposure to diverse health system architectures, and growth potential into senior technical or platform architecture roles as we scale.

Why Join Qualified Health?

• Mission that matters: We partner with the country's leading health systems to safely deploy AI that improves patient care, operational efficiency, and financial performance. Your work directly impacts clinical outcomes for millions of patients.

• Serious traction: 14+ health system partners including the University of Texas system, University of Rochester Medical Center and Jefferson Health — scaling to 100K+ users.

• Public Benefit Corporation: We're organized to prioritize patient outcomes alongside business performance. This isn't lip service — it's in our charter.

• Comp that competes: We offer market competitive base salary, meaningful equity with real upside, and comprehensive benefits. We are happy to offer flexible working hours and an inclusive environment that fosters creativity and innovation,

Our Commitment to Diversity

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Pay & Benefits: The pay range for this role is between $185,000 and $225,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.