Senior Healthcare Data Engineer
Listed on 2026-07-19
-
Software Development
Data Engineering
Senior Healthcare Data Engineer
Salary: $120,000 - $150,000 per year
We are an award‑winning, AI‑driven healthcare technology company transforming multi‑location healthcare organizations by leveraging data for smarter business decision‑making. We are building a new Healthcare Data Integrations team focused on ensuring quality, integrity, and reliability of the data powering our analytics platform.
Why join us?- Competitive Base Salary
- Company‑paid health plan for employees
- Equity in high‑growth start‑up (not in lieu of a salary)
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
As a Senior Healthcare Data Engineer you’ll work at the intersection of healthcare data, engineering, and analytics. You’ll evaluate new data sources, design scalable data transformations, and ensure complex datasets are accurate enough to support critical business reporting.
You’ll partner closely with software engineers, product leaders, and external integration partners to solve challenging data quality problems while building a scalable framework for future healthcare integrations.
Responsibilities- Profile and validate data from Electronic Health Record (EHR) and Practice Management (PMS) systems.
- Analyze complex healthcare datasets to determine completeness, consistency, and reporting readiness.
- Design data mapping and normalization logic across disparate source systems.
- Partner with engineering to build and enhance production ETL and data ingestion pipelines.
- Develop automated monitoring, reconciliation, and data quality validation processes.
- Collaborate with external vendors and integration partners to resolve data issues.
- Help establish best practices, reusable tooling, and scalable processes for future integrations.
- 5+ years of experience in Data Engineering, Analytics Engineering, Data Science, or Data Quality Engineering.
- Expert‑level SQL skills.
- Strong Python experience, including pandas or similar data processing libraries.
- Experience building or supporting ETL pipelines and data ingestion workflows.
- Strong understanding of relational databases, data modeling, and schema design.
- Ability to investigate complex data quality issues and communicate technical findings clearly.
- Experience working with cloud data platforms such as Snowflake, AWS, S3, or similar technologies.
- Healthcare data experience involving EHR, EMR, Practice Management Systems, clinical, financial, or claims data.
- Knowledge of FHIR or healthcare interoperability standards.
- Experience working with HIPAA‑protected data.
- Familiarity with healthcare integration platforms or third‑party data aggregators.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).