Senior Data Engineering Manager

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

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

• 7+ years' experience in Data Engineering.

• 5+ years in a technical leadership or management role, building and leading high-performing data engineering teams.

• 5+ years' experience 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) and Workflow orchestration tools (e.g., Airflow, Dagster).

• 5+ years' experience with SQL, Python, PySpark.

• 3+ years' experience with real-time data streaming technologies (e.g., Kafka).

Preferred Qualifications

• Excellent communication, interpersonal, and leadership skills.

• Strategic mindset with the ability to balance long-term vision with immediate business needs.

• Familiarity with healthcare data and healthcare insurance feeds.

• Familiarity with Data Analytics and reporting.

• Familiarity with ML/AI.

 Education

• Bachelor's degree in Computer Science / Engineering

• Master's degree preferred

Pay Range

The typical pay range for this role is:

$106,605.00 - $284,280.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.