Senior Data Engineer

🕒 il y a 10 jours

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Empower Pharmacy

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2009

💊 Pharmaceutique

🏥 Santé

🏭 Fabrication

💰 Debt financing en 2023-10

Pharmaceuticals • Healthcare • Manufacturing

Empower Pharmacy est une pharmacie de préparation magistrale et un fabricant pharmaceutique basé aux États-Unis, spécialisé dans la production de médicaments individualisés à grande échelle. Fondée dans le but d'élargir l'accès à des thérapies personnalisées de haute qualité et abordables, Empower gère à la fois des installations de sous-traitance enregistrées 503A et 503B par la FDA, comprenant de grands sites de fabrication stériles construits selon les Bonnes Pratiques de Fabrication actuelles, en utilisant l'automatisation pour accroître l'échelle des opérations. L'entreprise se targue d'une licence nationale, d'une distribution à haut volume (remplissant des milliers de prescriptions sur mesure chaque jour), et d'une mission centrée sur la qualité, la sécurité, le service et l'innovation dans les soins pharmaceutiques.

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.

🎯 Exigences

• 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.

🏖️ Avantages

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