Senior Data Engineering Manager

nical 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).
  • Workflow orchestration tools (e.g., Airflow, Dagster).

• Solid experience with SQL, Python, PySpark.

• Excellent communication, interpersonal, and leadership skills.

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

• Experience with real-time data streaming technologies (e.g., Kafka).

Preferred Qualifications

• 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

Pay Range

The typical pay range for this role is:$130,295.00 - $260,590.00

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. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• 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.

For more information, visit https://jobs.cvshealth.com/us/en/benefitsWe anticipate the application window for this opening will close on: 01/19/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.