Supervisor Data Engineering - Oregon Based Only

Moda Health is a company founded in Oregon in 1955, dedicated to improving healthcare quality. They are seeking a Data Engineering Supervisor to lead a team of engineers, oversee enterprise data solutions, and implement scalable data transformation frameworks to support business intelligence and analytics.

Responsibilities:

• Oversee and coordinate data engineering and analytics engineering activities, including the design, development, implementation, and ongoing improvement and management of the Enterprise Data Warehouse (EDW)
• Set clear objectives, monitor progress, and conduct regular performance reviews for the data engineering team
• Gather and translate business requirements into technical solutions by designing data models, building transformation workflows, and applying best practices for data architecture and governance
• Develop data models and pipelines while supervising the overall management of the EDW using diverse tools
• Collaborate with analytics and business teams, providing technical guidance, peer reviews, and support for ad hoc data queries and reporting needs
• Lead hiring, onboarding, training, coaching, and performance management to build a high-performing team
• Ensure compliance with data governance, security, and quality standards
• Continuously optimize processes to support data-driven decision-making
• Perform other duties as assigned

Requirements:

• Proven leadership experience managing people and data-focused technical teams, with the ability to guide diverse, interdisciplinary teams with varying skill sets and experience levels
• 7+ years of experience in data or analytics engineering with ETL/ELT pipeline design, development, and maintenance. Healthcare data experience is preferred
• 10+ years of SQL experience across on-prem servers (SQL Server) and cloud data warehouses (Snowflake, MS Fabric, BigQuery, Redshift). Experience migrating on-prem databases to cloud data warehouses strongly preferred
• Expertise in data architecture principles, dimensional modeling, and enterprise data integration strategies
• Experience with data pipeline orchestration tools such as SSIS, SQL Agent, Tidal, Airflow, and dbt
• Ability to collaboratively develop and implement analytics and reporting solutions. Experience supporting Power BI or other modern BI tools preferred
• Strong understanding of data modeling principles, documentation, and tools
• Ability to communicate complex analytical solutions to audiences with varying technical understanding
• Strong organizational skills to plan, prioritize, and meet departmental goals and timelines
• Ability to work effectively under pressure in a complex, rapidly changing environment
• Ability to work independently with minimal supervision
• Healthcare data experience is preferred
• Experience supporting Power BI or other modern BI tools preferred
• Experience migrating on-prem databases to cloud data warehouses strongly preferred