Senior Data Engineering Manager

Job Description

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary We are seeking a highly skilled and experienced Senior Data Engineering Manager to lead and mentor our data engineering team of 6-8 data engineers. This role is crucial for scaling our data platform, establishing best practices, and ensuring we can deliver on the data needs of our business. You will be a hands-on leader, combining deep technical expertise with strong people management skills to drive our data strategy forward. The position is open in a data engineering team that is responsible for processing Claims, Revenue, and Medicare Specific files and data from 30+ payors into our Data Warehouse.

Responsibilities: Team Leadership & Management: Lead, mentor, and grow a team of talented data engineers, fostering a culture of technical excellence, collaboration, and continuous learning. Manage the hiring, training, and professional development of team members.

Conduct performance reviews, provide regular feedback, and guide career paths. Technical Strategy & Execution: Own the technical vision and roadmap for our data platform, ensuring it aligns with business objectives and scales with company growth. Lead the design, development, and maintenance of robust, scalable, and reliable data pipelines and data warehouses.

Drive best practices in data modeling, ETL/ELT processes, and data governance. Oversee the implementation of new data technologies and architectures Cross-Functional Collaboration: Partner with product managers, data scientists, analysts, and other engineering teams to understand data needs and deliver effective solutions. Translate complex business requirements into clear, actionable technical plans.

Communicate technical concepts and project progress to both technical and non-technical stakeholders. Operational Excellence: Ensure the data platform meets our standards for performance, security, and data quality.

Establish and maintain a culture of operational excellence, including monitoring, alerting, and incident response. Manage and optimize data infrastructure costs. Required Qualifications A bachelor’s or master’s degree in Computer Science, Data Science, or a related field.

7+ years of experience in data engineering, with 5+ years in a technical leadership or management role. Proven experience building and leading high-performing data engineering teams. Deep expertise with modern data technologies, including: Cloud platforms (AWS, Azure, or GCP).

Big data frameworks (e. g. , Apache Spark, Hadoop).

Data warehousing solutions (e. g. , Snowflake, Redshift, BigQuery).

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