Manager, Data Engineering

Centene Corporation is a diversified national organization that seeks to improve health outcomes for its 28 million members through technology. The Manager of Data Engineering will oversee the data platform and infrastructure, mentor a team of data engineers, and ensure the delivery of high-quality data products while communicating analytical insights to stakeholders.

Responsibilities:

• Manages design and development of software and processes to support large scale, efficient data pipelines and optimizes the availability of data to generate insights and address business needs
• Translates technical business goals and requirements into designs utilizing best practice design patterns and partner with engineering leads, product managers, and design leads in shaping and guiding the technical direction for the data engineering team
• Manages the planning, prioritization and execution of data production projects and processes and the activities of team of data engineers responsible for developing software code that formats, tags, processes, stores and delivers data
• Develops the standards and processes required to ensure the delivery of high-quality data products
• Participates in code reviews and help lead technical discussions, accountable for the maintenance of agile processes and ceremonies for the data team
• Manages and oversees the automation of key ETL / ELT (Extract / Transform / Load) and quality assurance (in collaboration with quality engineering team) processes for large volumes of data and migrations of workloads
• Performs and monitors data governance, data quality, integrity, standards, master data management, metadata strategy, and business intelligence/analytics
• Contributes to decisions on key technology choices for data pipelines to ensure that they are scalable, repeatable, secure, and can serve users at scale in the organization
• Allocates available resources to meet operating objectives and provides team leadership, fostering a diverse and inclusive workplace
• Performs other duties as assigned
• Complies with all policies and standards

Requirements:

• Bachelor's degree
• 5+ years of related experience
• Experience in managing design and development of software and processes to support large scale, efficient data pipelines
• Ability to translate technical business goals and requirements into designs utilizing best practice design patterns
• Experience in managing planning, prioritization and execution of data production projects
• Experience in developing standards and processes for high-quality data products
• Participation in code reviews and leading technical discussions
• Experience in managing and overseeing automation of key ETL / ELT processes
• Experience in performing and monitoring data governance, data quality, integrity, standards, master data management, metadata strategy, and business intelligence/analytics
• Ability to contribute to decisions on key technology choices for data pipelines
• Experience in allocating resources to meet operating objectives
• Ability to foster a diverse and inclusive workplace
• Compliance with all policies and standards
• Experience with AWS
• Experience with Snowflake
• Experience with Python