At Sprinter Health, our mission is to dramatically expand access to healthcare by reimagining the patient experience—delivered at home and powered by technology for scale.
We're building the technology and clinical services platform to make preventive, connected healthcare accessible for everyone in the US. We deliver hybrid care (in-home + virtual) backed by data products across 15+ states, serving 60%+ of the US population through major health plans and systems. With 1M+ patients and 92+ NPS, we're rapidly scaling our impact. Our team of technologists, clinicians, and operators is backed by investors including a16z, General Catalyst, GV, and Accel that have funded companies like Devoted Health, Livongo, Benchling, Stripe, Ramp, Airbnb, Lyft, Instagram, and Databricks.
We have a rapidly growing team of visionary leaders who are passionate about increasing access to care, lowering healthcare costs, and improving outcomes for patients.
About The Role
We're rapidly growing our clinical team as we cultivate new partnerships with enterprises across the healthcare spectrum. We're looking for an experienced Registered Nurse (RN) to work as a Clinical Manager to oversee our west coast region as well as future markets in the nation as we continue to expand.
This role will report to the Director of In Home Care and you will collaborate closely with all Clinical Managers and internal stakeholders to effectively lead the charge of the Sprinters in your assigned regions. The ideal candidate will be an experienced leader with demonstrated ability to effectively manage teams, identify and create solutions.
Clinical Operations Management
Oversee the daily operations of the clinical field team, ensuring smooth workflow.
Develop and implement policies and procedures to maintain high standards of care.
Monitor patient care quality, ensuring adherence to clinical guidelines and best practices.
Staff Supervision & Development
Recruit, train, and manage the clinical Sprinter team.
Conduct performance evaluations and provide ongoing coaching and support.
Compliance & Quality Assurance
Ensure compliance with healthcare regulations (OSHA, HIPAA, Joint Commission, etc.).
Monitor incident reports and implement corrective actions as needed.
Lead quality improvement initiatives to enhance patient safety and service delivery.
Financial & Resource Management
Control expenses, and allocate resources effectively.
Optimize clinical workflows to improve efficiency and reduce costs.
Patient Care Coordination
Address patient concerns and ensure a patient-centered approach to care.
Respond to abnormal labs, tests, vitals- assess, triage patients to ensure proper follow up care is received.
Implement strategies to improve patient satisfaction and outcomes.
Collaboration & Communication
Work closely with the Clinical Manager team and cross functional teams to ensure Sprinters are supported in the field and all teams are aligned.
Attend management meetings and provide updates on clinical operations for your market.
You will thrive at Sprinter Health if you have:
The desire to work collaboratively with a tight-knit but quickly growing team across many different areas of the business
Flexibility, humility, and a sense of humor
Excitement for working in a fast-paced startup
Experience and Skills
5+ years of Registered Nurse experience
Experience in a healthcare startup or virtual management experience preferred
Direct report management experienceProficient at working with modern technology
Able to do extensive travel of up to 50%
This position will be a hybrid role where you will work some days from home and others travel to various coverage regions to meet
Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.If you're looking for a career that offers opportunities for growth, continual development, professional challenge and the chance to make a real difference in the lives of people, apply today!
Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers.
If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.
Listed by Sprinter Health for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
49 days ago
Analytics Engineer (Senior)
Sprinter Health · San Francisco, California, United States
Analytics Engineer (Senior)
Location
San Francisco, CA; Menlo Park, CA
Address
394 Pacific Avenue , San Francisco, California, 94111
Employment Type
Full time
Location Type
Hybrid
Department
Sprinter Health
Engineering
Compensation
SF Bay Area
Estimated Base Salary $165K – $215K • Offers Equity
Overview
Application
Analytics Engineer
About Sprinter Health
At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system, driving over $300B in avoidable costs every year.
By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators has raised over $125M from investors like a16z, General Catalyst, GV, and Accel and enjoys multi-year runway.
About the Role
We’re looking for an Analytics Engineer to build the trusted data layer that analysts, data scientists, operations, finance, product, and our payer customers depend on.
At Sprinter, data is central to how we operate, measure performance, serve patients, and support our health plan partners. This role will own the canonical models, metric definitions, transformation logic, documentation, and tests that make our data reliable and reusable across the company.
You’ll help define what each table, field, and metric means, then build the infrastructure that ensures those definitions are consistently applied. That includes modeling data in dbt or equivalent tooling, creating reporting-ready tables, improving lineage and documentation, reconciling metrics across teams, and helping prevent the kind of data drift and metric chaos that slows companies down as they scale.
This role is ideal for someone who treats metric definitions as product artifacts, thinks in contracts and tests, and cares deeply about making data trustworthy for both internal users and external customers.
Office Location
We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We operate on a hybrid schedule, working from the office Monday through Thursday, with Fridays designated as work-from-anywhere days.
We care deeply about work-life balance and are happy to provide flexibility when life happens. We ask that employees be in the office Monday through Thursday to collaborate with their teams while maintaining flexibility where it matters most.
Lunch is provided every day, and the entire team takes an hour to eat together. It’s one of the ways we stay connected outside of meetings. You’ll usually find us playing a board game before getting back to work.
What you will do
Build canonical data models that create a shared source of truth across the company
Define and maintain core business, operational, financial, product, and customer-facing metrics
Model data in dbt or equivalent transformation tooling so dashboards, self-serve analytics, and customer reports pull from trusted tables
Write tests, documentation, and data quality checks that catch issues before they reach users
Create clear definitions for tables, fields, and metrics so teams understand what the data means and when to use it
Reconcile metric definitions across internal teams, external reporting needs, and payer customer expectations
Trace data lineage and debug dashboards, reports, or tables that change unexpectedly
Partner with analysts, data scientists, operations, finance, product, engineering, and customer-facing teams to understand data needs and translate them into reliable models
Help build reusable reporting frameworks that make onboarding new payers faster and less manual
Partner with the data platform team to evolve warehouse tables, improve data architecture, and strengthen data contracts
Improve warehouse cost, performance, and maintainability
Support PHI-aware data access patterns and help ensure sensitive healthcare data is modeled and used responsibly
What you have done
Built analytics engineering, business intelligence, or data modeling systems in a production cloud warehouse environment
Written expert-level SQL and designed data models that support reporting, analysis, and decision-making
Worked with dbt or an equivalent transformation framework
Built tested, documented, reusable data models rather than one-off queries
Defined, maintained, or reconciled business-critical metrics across teams
Partnered with analysts, data scientists, operators, finance teams, product teams, or customer-facing stakeholders
Debugged data quality issues, dashboard changes, metric discrepancies, and lineage problems
Worked with cloud data warehouses such as BigQuery, Snowflake, Redshift, Databricks SQL, or similar
Balanced speed, correctness, usability, and maintainability when building data assets
Communicated clearly with technical and non-technical stakeholders about what data means and how it should be used
What gives you an edge
You have experience with healthcare data, claims data, EHR data, payer data, provider data, or other complex healthcare datasets
You’ve worked with PHI, HIPAA-aware data access patterns, or other sensitive regulated data
You have experience building customer-facing reporting, embedded analytics, or multi-tenant data models
You’ve worked with row-level security, access controls, or governed self-serve analytics
You have experience using Python for analysis, scripting, data validation, or automation
You’ve helped establish a semantic layer, metrics layer, or company-wide source of truth
You’ve built data models in a high-growth startup or operationally complex environment
You have experience improving warehouse performance, cost, and query efficiency
What makes you successful
You treat a metric definition as a product artifact, not a Slack thread
You make data trustworthy, reusable, and easy to understand
You prevent metric chaos by building clear definitions, tests, and documentation
You build so that a fix in one place does not require five copy-paste edits elsewhere
You understand that internal users and external customers both need data they can trust
You care about the usability of the data model, not just whether the pipeline runs
You can explain data discrepancies clearly and drive teams toward shared definitions
You build foundations that help the company move faster with more confidence
Day to Day
In this role, you might spend your time:
Building or refactoring dbt models
Adding tests to core tables
Defining canonical fields and documenting how they should be used
Reviewing metric definitions and reconciling them across teams
Debugging a dashboard, report, or customer-facing metric that changed unexpectedly
Tracing lineage from source systems through warehouse models to downstream reports
Partnering with analysts, operators, finance, product, or customer-facing teams on reporting needs
Improving warehouse performance, cost, and maintainability
Designing reusable reporting structures that make new payer launches easier
The Interview Process
We aim to complete the interview process within 2–3 weeks. It will usually consist of:
Recruiter Screen: Background fit, motivation, and compensation alignment
Hiring Manager Interview: Analytics engineering experience, data modeling depth, and stakeholder partnership
Hands-on Technical Assessment: SQL, data modeling, metric design, and practical analytics engineering judgment
Onsite Interview: Technical case study, systems/data modeling discussion, behavioral interview, and lunch with the team
References: Validation of performance, judgment, and working style
What we offer
Meaningful pre-IPO equity
Medical, dental, and vision plans 100% paid for you and your dependents
Flexible PTO + 10 paid holidays per year
401(k) with match
16-week parental leave policy for birthing parent, 8 weeks for all other parents
HSA + FSA contributions
Life insurance, plus short and long-term disability coverage
Free daily lunch in-office
Annual learning stipend
Relocation assistance
Equal Opportunity Statement
Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected classes.
Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers.
If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles on our official Sprinter Health Careers website. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.
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