Senior Data Engineering Manager

CVS Health

23h

About The Position

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.

Requirements

• 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).

Nice To Haves

• 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.

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.

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level