Pivotal Health is the leading technology platform that helps healthcare providers get paid fairly in an increasingly complex reimbursement landscape.
Today, many providers face persistent underpayment from health insurance companies, despite delivering high-quality care. While processes like IDR (Independent Dispute Resolution) were designed to promote fairness, theyâre often administrative-heavy, time-consuming, and difficult to navigate without the right tools.
Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows. We help providers efficiently dispute underpaid claims, reduce administrative burden, and recover the reimbursement theyâre entitled to; without adding more work to already stretched teams.
Our full-service IDR solution is just the starting point. Weâre building solutions that enable providers to operate with clarity, control, and confidence across the reimbursement journey.
We're hiring a Data Engineer to sit at the intersection of our analytics and engineering teams. You'll be responsible for making Pivotal's product data accessible, reliable, and ready for analysis, connecting data sources to our warehouse, building clean transformation pipelines, and ensuring our analysts have what they need to drive business decisions.
This is not a traditional software engineering role and it's not a pure analyst role either. You'll bring a strong technical foundation and apply it in service of business outcomes: faster reporting, better data access, and more reliable pipelines that the team can actually trust.
If you enjoy building the infrastructure that makes great analysis possible and care about the business impact of your work, this role is for you.
Own the pipeline from product database to analytics warehouse: Take full ownership of extracting data from our PostgreSQL product database and loading it into BigQuery. Design and maintain the ETL processes that make this happen reliably, with the right structure for downstream analytics use.
Bring in new data sources: Expand our analytics footprint by integrating new data sources, including third-party tools like Salesforce, into our warehouse. You'll partner with our DevOps team to establish the right service accounts, permissions, and connection patterns to do this securely and correctly.
Build and maintain analytics-ready tables: Use dbt to design, build, and manage the transformation layer that turns raw data into clean, well-structured tables. You'll have real ownership over what the data looks like: what gets modeled, how it's shaped, and what makes it most useful for reporting.
Support reporting and business insights: Work alongside our analysts to support the reporting layer, ensuring data is fresh, accurate, and structured in a way that makes building dashboards and reports in Tableau, Power BI, or Metabase reliable and efficient.
Be the bridge between analytics and engineering: Attend engineering team meetings to stay ahead of product changes that could affect analytics. Serve as the connective tissue between both teams, translating data needs into technical solutions and keeping everyone aligned.
Strong SQL skills with hands-on experience in modern cloud data warehouses: BigQuery, Snowflake, or Redshift
Proficient with dbt for managing SQL transformations. You understand how to write clean, maintainable, well-documented models
Comfortable with Python at a working level, enough to build and automate data workflows without needing to be a full software engineer
Experience with at least one BI or reporting tool (Tableau, Power BI, Metabase, or similar)
You think in business outcomes: your resume reflects the impact your work had, not just the tools you used
Self-directed and comfortable with ambiguity: you can identify what needs to be done and execute without heavy guidance
Collaborative by nature: you know how to work across teams with different levels of technical depth
Startup or high-growth company experience: you're used to environments where ownership is real and speed matters
Hands-on experience with BigQuery specifically
Experience connecting BI tools to a cloud warehouse (e.g., Power BI to BigQuery)
Experience with Salesforce data or CRM integrations
Background in FinTech, HealthTech, or other data-rich industries
Weâre a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers. While we primarily hire around our core hubsâLos Angeles and New Yorkâwe remain open to exceptional talent outside those regions. Remote and hybrid flexibility varies by role and team, and is outlined in each job description.
If youâre excited by solving complex problems and making a real-world impact, weâd love to hear from you.
Benefits Include:
Competitive compensation, including equity
Full health, dental, and vision coverage
Retirement savings plan through 401(k)
Flexible time off
Opportunities for company-wide connection and events
Ready to Make an Impact?
Weâre building something meaningful; and we want you on the team.
Bring your ideas, curiosity, and drive, and letâs transform healthcare reimbursement together.
Work Authorization
Candidates must be authorized to work in the United States without current or future employer sponsorship.
Equal Employment Opportunity
Pivotal Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other legally protected status.
Reasonable Accommodations
Pivotal Health provides reasonable accommodations for qualified individuals with disabilities in accordance with applicable laws. If you need assistance during the application or interview process, please let us know.
Background Checks
Employment is contingent upon successful completion of applicable background checks, where permitted by law.
At-Will Employment
Employment with Pivotal Health is at-will and may be terminated by either party at any time, with or without cause or notice, in accordance with applicable law.