Senior Data Engineer

🕒 6 days ago

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Empower Pharmacy

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2009

💊 Pharmaceuticals

🏥 Healthcare

🏭 Manufacturing

💰 Debt financing on 2023-10

Pharmaceuticals • Healthcare • Manufacturing

Empower Pharmacy is a U. S. -based compounding pharmacy and pharmaceutical manufacturer focused on producing individualized (compounded) medications at scale. Founded to expand access to affordable, high-quality personalized therapies, Empower operates both 503A and FDA-registered 503B outsourcing facilities, including large sterile manufacturing sites built to current Good Manufacturing Practices and leveraging automation for scalability. The company touts nationwide licensure, high-volume dispensing (reports filling thousands of custom-compounded prescriptions daily), and a mission centered on quality, safety, service, and innovation in pharmaceutical care.

📋 Description

• 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

• 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

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