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Senior Data Engineer

3 weeks, 4 days ago
United States
Full-time
Lead
Data Engineer
Software Development
AWS Git Python REST API Serverless Snowflake SQL
Apply Now
Empower Pharmacy

Empower Pharmacy

Empower Pharmacy operates as a 503A compounding pharmacy and FDA registered 503B facility, specializing in the production of high-quality, personalized medications to enhance the health and well-being of patients across the United States.

Health Care Providers & Services
251-1K
Founded 2009
View All Jobs 9

Description

  • Design and evolve scalable cloud data platforms that support analytics, automation, regulatory reporting, and operational visibility.
  • Develop relational and dimensional data models that translate complex business processes into trusted analytical structures.
  • Set engineering standards for pipeline design, code quality, observability, testing, version control, and deployment discipline.
  • Build, optimize, and maintain ELT and ETL pipelines that ingest structured and semi-structured data from multiple internal and external sources.
  • Design and implement REST API integrations that expand the data ecosystem while maintaining reliability, security, and compliance.
  • Apply AI and automation to reduce manual data work, improve data quality, accelerate root-cause analysis, and expand self-service capabilities.
  • Embed data quality, lineage, privacy, access control, and documentation into engineering deliverables.
  • Partner with Technology, Operations, Finance, Commercial, Quality, Compliance, Security, and leadership teams to deliver high-impact data solutions.
  • Mentor engineers, analysts, and cross-functional partners through design reviews, reusable patterns, troubleshooting, and disciplined delivery habits.
  • Own technical decisions and pipeline performance from concept through production, monitoring, and continuous improvement.

Requirements

  • Minimum 8 years of experience in data engineering, including 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 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.
  • Advanced proficiency in AWS serverless data services, relational and non-relational databases, data warehousing, dimensional modeling, ELT/ETL orchestration, REST APIs, and production-grade engineering practices.
  • Experience designing governed data solutions in fast-paced, complex, or regulated environments.
  • Healthcare, pharmacy, life sciences, or manufacturing experience is helpful but not required.
  • Preferred certifications include AWS Data Engineer, AWS Data Analytics, Snowflake, or Data Vault 2.0.
  • Demonstrated expertise with Kimball and Inmon modeling methodologies is preferred.
  • Strong ability to apply AI-assisted development, profiling, testing, documentation, anomaly detection, and workflow automation while maintaining human review and validation discipline.
  • High learning agility, collaboration, communication, project ownership, and problem-solving capability.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Paid time off.
  • 401(k) matching.
  • Wellness perks.
  • IV therapy benefit.
  • Compounded medications benefit.

Interested in this position?

Apply directly on the company website

Apply Now

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