Senior IT Data Engineer

🔥 15 hours ago

🏄 California, Florida, +1 more states – Remote

🏄 California – Remote 🐊 Florida – Remote 🌲 North Carolina – Remote

💵 $103k - $154.6k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Mosaic Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

👥 B2C

Healthcare • B2C

Mosaic Health is a national care delivery platform focused on expanding access to comprehensive primary care for consumers covered by Commercial, Individual Exchange, Medicare, and Medicaid health plans. It brings together multiple operating units and brands (including CareMore Health, Millennium Physician Group/MPG, Castlight Health, Vera Whole Health, and apree health) to deliver coordinated primary care services and related care-management capabilities across payer types. Mosaic Health’s corporate site and leadership roster reflect a centralized platform structure with executive leadership overseeing business units and strategic partnerships.

📋 Description

• Design and build scalable data pipelines, ETL/ELT processes, and data models for analytics, clinical, and operational consumers • Lead data engineering workstreams from requirements through production deployment • Manage technical quality and delivery milestones • Develop and optimize SQL, Python, and pipeline code for performance, reliability, and maintainability at scale • Contribute to data platform architecture decisions, including storage design, processing patterns, and tooling selection • Identify data quality issues and partner with source system owners to drive resolution and preventive improvements • Establish engineering standards for pipeline development, testing, documentation, and version control • Mentor junior data engineers and contribute to team capability development • Work independently on enterprise-impact projects with limited supervision • Serve as a technical resource on complex data challenges and influence methods, policies, and procedures

🎯 Requirements

• Bachelor's degree required • 4-6 years of data engineering experience • Advanced SQL proficiency • Strong Python skills for data pipeline development • Deep experience with data pipeline tools such as dbt, Azure Data Factory, Airflow, or Informatica • Experience with cloud data platforms • Experience with data modeling, including dimensional design, data vault, or medallion architecture patterns • Demonstrated ability to manage data engineering projects independently • Professional-level cloud or data engineering certification preferred