Senior Data Engineer

Houston, Texas, United StatesHybridFull TimeSenior$150,000–$200,000 /yrPosted 2 months ago

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Role summary

A growing HealthTech startup is seeking a Senior Data Engineer to join their hybrid team in Houston, TX. This full-time, permanent role involves building and owning production data pipelines that feed AI systems used by clinicians. The engineer will integrate data from large healthcare organizations into a modern cloud data platform, focusing on data quality and timely delivery. Responsibilities include developing reusable components and collaborating with partner technical teams. The ideal candidate has 4+ years of experience with production data pipelines, strong SQL and Python skills, and experience with cloud data platforms, particularly Azure. Familiarity with healthcare data formats is required, with a willingness to learn quickly.

Senior Data Engineer - HealthTech
$150,000 - $200,000 +
Hybrid - Houston, TX
Full time / Permanent
A fast-growing healthcare technology start up is looking for a 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. 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
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 making sure 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 SQL skills across large, complex datasets
Proficiency in Python for data transformation
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

Tech Stack
Azure Data Factory - Databricks - Python - 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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