Senior Data Engineer

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.