Senior Data Engineer

Responsibilities

• Data Platform Leadership
• Platform Architecture : Design and evolve scalable cloud data platforms that support analytics, automation, regulatory reporting, and operational visibility across Empower. Build resilient serverless patterns, dimensional models, marts, and warehouses that improve data usability, reduce latency, and support AI-enabled consumption. Own technical decisions from concept through production, balancing speed with security, reliability, cost discipline, long-term maintainability, measurable enterprise adoption, and resilience while strengthening regulated enterprise performance and resilience under sustained hyper-growth pressure daily.
• Modeling Excellence : Develop relational and dimensional data models that translate complex business processes into trusted analytical structures for enterprise users. Apply Kimball, Inmon, Data Vault, and pragmatic modeling approaches where appropriate, using AI-assisted profiling and documentation to accelerate quality reviews. Ensure models support traceability, performance, governed definitions, and executive decision-making while remaining flexible enough to scale with new products, facilities, compliance requirements, growth, and enterprise reporting expectations across expanding enterprise data domains.
• Engineering Standards : Set high engineering standards for pipeline design, code quality, observability, testing, version control, and deployment discipline. Use AI tools to accelerate development, identify defects, generate documentation, and improve maintainability without compromising validation or accountability. Create reusable patterns that help peers deliver faster, safer, and more consistently, while raising the technical maturity of Empower's data engineering practices across cloud, database, integration, and analytics environments with operational impact and enterprise delivery discipline.
• Intelligent Data Delivery
• Pipeline Delivery : Build, optimize, and maintain ELT and ETL pipelines that ingest structured and semi-structured data from internal systems, external partners, APIs, and operational platforms. Leverage automation, orchestration, and AI-assisted anomaly detection to improve throughput, quality, and issue resolution. Own pipeline performance from requ

Benefits

Additional Information

Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation's most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we're redefining what's possible in personalized medicine and pharmaceutical manufacturing. We're proud to be recognized as one of Houston's fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025. Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we've created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country. At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that's transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions. If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let's transform healthcare together. POSITION SUMMARY 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.

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