Senior Data Engineer

Job summary

Emp*** 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.

Benefits

Qualifications

• 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
• through monitoring, ensuring data arrives accurately, securely, and on time for analytics, forecasting, compliance, and business-critical decision workflows across high-volume regulated systems.
• API Integration: Design and implement REST API integrations that expand Empower's data ecosystem while protecting reliability, security, and compliance.
• Evaluate source system behavior, authentication patterns, rate limits, error handling, and data contracts, using AI to accelerate mapping, testing, and exception analysis.
• Automation Intelligence: Apply AI and automation to reduce manual data work, accelerate root-cause analysis, improve data quality, and expand self-service capabilities.
• Build intelligent checks, metadata-driven workflows, and repeatable validation routines that strengthen confidence in enterprise data products.
• Governance And Partnership
• Data Governance: Embed data quality, lineage, privacy, access control, and documentation into engineering deliverables from the start.
• Collaborate with Quality, Compliance, Security, and business stakeholders to ensure data solutions meet expectations for a regulated 503A/503B organization.
• Business Partnership: Partner with Technology, Operations, Finance, Commercial, Quality, and leadership teams to convert ambiguous needs into prioritized, high-impact data solutions.

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.
• 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
• of the job, the employee is required to talk and hear.
• Employees are regularly required to move about the office and around the corporate campus.
• The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

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