Join a fast-growing Series B healthcare AI startup as a Senior Data Engineer to build and own data pipelines, integrate data from large healthcare organizations, and contribute to shared tools and frameworks. This is a hands-on role with a focus on data quality, reliability, and scalability. The ideal candidate has 4+ years of experience building production data pipelines, strong Python programming skills, and experience with cloud-based data platforms and distributed processing tools.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Senior Data Engineer – HealthTech
$150,000 – $200,000 +
Fully Remote
Full-time / Permanent
DeepRec.ai are currently supporting a fast-growing Series B healthcare AI startup to expand their Data Engineering team. The company is 130 staff, with 35+ Data Engineers in the team currently. We are looking for multiple Senior Senior Data Engineer to join their team. They are actively working with large healthcare organizations across the U.S., helping them get more value from their data through AI-powered clinical tools. This work has a direct impact on how care is delivered, and the data teams sit at the centre of that.
This is a hands-on role. You will be building and owning data pipelines that feed real AI systems used by clinicians every day.
Why Join
- Small, collaborative teams where senior engineers have real ownership
- Clear progression to Director level — the company is growing and promotes from within
- Competitive base salary, equity, flexible hours, and strong benefits
- Work that has a tangible impact on patient care across the U.S.
The Role
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You will join a small team responsible for integrating data from large healthcare organisations into a modern cloud data platform. Day to day, you will be building pipelines, validating data quality, and ensuring the right data reaches the right systems reliably and on time.
You will also contribute to shared tools and frameworks that make future integrations faster — work that scales well beyond your individual projects.
What We're Looking For
- 4+ years of experience building production data pipelines
- Strong Python programming skills (core requirement) for data transformation and pipeline development
- Experience working with Databricks, Snowflake, or Microsoft Fabric
- Solid SQL skills (important, but secondary to Python)
- Experience with cloud-based data platforms and distributed processing tools
- Comfortable working with healthcare data formats and standards, or willing to learn quickly
- Experience with Azure cloud services
Useful but not essential
- Background in healthcare data or EHR systems
- Experience with modern lakehouse architectures
- Exposure to real-time data pipelines or message-based data feeds
- Experience in a SaaS or multi-tenant environment
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Tech Stack
Azure Data Factory • Databricks / Snowflake / Fabric • Python (primary language) • SQL • PySpark • CI/CD tooling • Healthcare data standards
What Success Looks Like
- Pipelines delivered on time, well tested, and clearly documented
- Data quality issues caught early — before they reach production
- Reusable components that speed up future work
- Strong working relationships with partner technical teams
Noteworthy: This is a full-time / permanent role and cannot be considered for C2C, C2H, or any other temporary contracts.
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