Senior Data Engineer

Role 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.

Responsibilities

• Data Platform Leadership
  • Platform Architecture : Design and evolve scalable cloud data platforms that support analytics, automation, regulatory reporting, and operational visibility across Empower.
  • Modeling Excellence : Develop relational and dimensional data models that translate complex business processes into trusted analytical structures for enterprise users.
  • Engineering Standards : Set high engineering standards for pipeline design, code quality, observability, testing, version control, and deployment 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.
  • API Integration : Design and implement REST API integrations that expand Empower’s data ecosystem while protecting reliability, security, and compliance.
  • Automation Intelligence : Apply AI and automation to reduce manual data work, accelerate root-cause analysis, improve data quality, and expand self-service capabilities.
• Governance And Partnership
  • Data Governance : Embed data quality, lineage, privacy, access control, and documentation into engineering deliverables from the start.
  • Business Partnership : Partner with Technology, Operations, Finance, Commercial, Quality, and leadership teams to convert ambiguous needs into prioritized, high-impact data solutions.
  • Technical Mentorship : Mentor engineers, analysts, and cross-functional partners through design reviews, reusable patterns, troubleshooting, and disciplined delivery habits.

Qualifications

• Advanced proficiency in AWS serverless data services, relational and non-relational databases, data warehousing, dimensional modeling, ELT and ETL orchestration, REST APIs, and production-grade engineering practices.
• Strong ability to apply AI-assisted development, profiling, testing, documentation, anomaly detection, and workflow automation while maintaining human review, validation discipline, and regulated-environment accountability.
• Demonstrated skill translating complex operational, financial, quality, and commercial requirements into scalable data models, pipelines, reporting foundations, and executive-ready technical recommendations.
• High learning agility, collaboration, communication, project ownership, and problem-solving capability, with the judgment to balance speed, quality, security, governance, and business impact.

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

• Comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage.
• Paid time off.
• 401(k) matching.
• Wellness perks, IV therapy, and compounded medications.

Physical Requirements

While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. 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.