The Team: 

Upstart’s Lifecycle Platform team develops innovative solutions, strategies, and systems that enable personalized, timely communication with millions of current and prospective customers. We build and scale the platforms behind preference management, email, SMS, push notifications, and emerging channels—ensuring the right message reaches the right user at the right time.

As a Software Engineer II on the team, you will be part of the broader Growth organization and partner closely with Lifecycle Marketing, Distribution, Insights, Data Platform, Analytics, and ML teams. We are the technical thought leaders and subject matter experts for outbound communications across the company. Our mission is to design and operate the infrastructure that transforms rich customer data into actionable, high-impact engagement.

This team operates with speed and ownership. We deploy frequently, unblock ourselves, and hold a high bar for accountability. We are not a siloed engineering team—we collaborate deeply with cross-functional stakeholders and play a central role in shaping the future of Upstart’s marketing platforms.

How you’ll make an impact

• Design and build scalable backend services that power our unified communications platform across SMS, email, push, and future channels.
• Develop systems for real-time, event-triggered messaging and self-serve marketing automation and experimentation capabilities.
• Translate large, complex datasets into high-leverage marketing capabilities through APIs, streaming pipelines, and reverse ETL workflows.
• Partner closely with product managers, lifecycle marketing, data insights, analytics, and data platform teams to define requirements and deliver impactful, data-driven solutions.
• Lead medium-sized projects independently—proactively identifying risks, managing ambiguity, and driving execution from design through launch.
• Strengthen our engineering culture by improving system reliability, accelerating iteration, and clearly communicating technical trade-offs to cross-functional stakeholders.

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 3 years of experience
• Experience building and operating microservices and APIs in a cloud environment (preferably AWS).
• Proficiency in at least one backend language such as Kotlin, Java, Ruby, or Python.
• Demonstrated ability to independently execute on projects, navigate ambiguity, and collaborate effectively with cross-functional partners.
• Excellent written and verbal communication skills with the ability to work in a distributed team

Preferred Qualifications

• Experience supporting Marketing, Growth, or GTM teams, particularly in environments involving CDPs, customer segmentation, or campaign orchestration.
• Experience with reverse ETL tools (e.g., Hightouch, Census), data pipeline tooling (e.g., Airbyte, Fivetran, Databricks), or marketing automation platforms (e.g.,Iterable, Braze, or Salesforce Marketing Cloud).
• Familiarity with real-time event streaming systems and high-throughput messaging architectures.
• Experience integrating with third-party APIs and building systems that ingest, transform, and expose large volumes of data.
• Track record of leading medium-to-large projects and contributing to system design decisions with long-term platform impact.

Position location This role is available in the following locations: Remote

Time zone requirements The team operates on the East/West coast time zones.

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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.