Senior Data Engineer

Empower Pharmacy

Senior Data Engineer developing enterprise data solutions as part of a mission-driven healthcare company. Responsible for data architecture, integration, automation, governance, and optimization in a regulated environment.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudETLPythonSQLVault

About the role

Key responsibilities & impact

The Senior Data Engineer owns the design, delivery, and continuous improvement of Empower’s enterprise data foundation, enabling faster decisions, stronger quality, and scalable growth across a highly regulated 503A/503B pharmacy environment.
This role converts complex business, operational, and compliance needs into secure, reliable, AI-enabled data products, pipelines, models, and platforms that accelerate speed, scale, quality, and decision-making.
The role has end-to-end ownership for critical data engineering outcomes, from architecture and integration through automation, governance, and performance optimization.
Success requires P80-P90 talent: strategic thinking, execution rigor, learning agility, technical depth, and the ability to raise standards while partnering across Technology, Operations, Quality, Finance, and Commercial teams in a hyper-growth environment where data reliability directly impacts patients, providers, and enterprise performance under urgent demand, evolving priorities, and high executive visibility every day.

Requirements

What you’ll need

Minimum 8 years of experience in data engineering, including hands-on ownership of cloud data platforms, data modeling, data warehousing, pipeline development, and enterprise data integration.
Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, Engineering, or another quantitative discipline; equivalent depth of experience may be considered.
Deep experience with AWS serverless technologies, SQL, Python or comparable programming languages, relational and non-relational databases, ELT and ETL tools, visualization enablement, and production support.
Experience designing governed data solutions in fast-paced, complex, or regulated environments; healthcare, pharmacy, life sciences, or manufacturing exposure is helpful but not required.
Preferred certifications include AWS Data Engineer, AWS Data Analytics, Snowflake, Data Vault 2.0, or demonstrated expertise with Kimball and Inmon modeling methodologies.

Benefits

Comp & perks

medical, dental, and vision coverage
paid time off
401(k) matching
wellness perks
IV therapy
compounded medications