Senior Data Engineer

Senior Data Engineer - HealthTech

Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements.

$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. xywuqvp

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.