Senior Data Engineer

Senior Data Engineer – HealthTech $150,000 – $200,000 + Fully RemoteFull-time / PermanentDeepRec.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 JoinSmall, collaborative teams where senior engineers have real ownershipClear progression to Director level — the company is growing and promotes from withinCompetitive base salary, equity, flexible hours, and strong benefitsWork that has a tangible impact on patient care across the U.S.The RoleYou 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 For4+ years of experience building production data pipelinesStrong Python programming skills (core requirement) for data transformation and pipeline developmentExperience working with Databricks, Snowflake, or Microsoft FabricSolid SQL skills (important, but secondary to Python)Experience with cloud-based data platforms and distributed processing toolsComfortable working with healthcare data formats and standards, or willing to learn quicklyExperience with Azure cloud servicesUseful but not essentialBackground in healthcare data or EHR systemsExperience with modern lakehouse architecturesExposure to real-time data pipelines or message-based data feedsExperience in a SaaS or multi-tenant environmentTech StackAzure Data Factory • Databricks / Snowflake / Fabric • Python (primary language) • SQL • PySpark • CI/CD tooling • Healthcare data standardsWhat Success Looks LikePipelines delivered on time, well tested, and clearly documentedData quality issues caught early — before they reach productionReusable components that speed up future workStrong working relationships with partner technical teamsNoteworthy: This is a full-time / permanent role and cannot be considered for C2C, C2H, or any other temporary contracts.