Sr. Manager - Data Engineer

Data Engineering Professional

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. We are seeking a seasoned data engineering professional to lead our data modeling and data product delivery. Candidates will possess a deep understanding of data architecture and data modeling. They will be responsible for managing a team of data engineers, ensuring timely delivery of projects and providing technical leadership and guidance. This role involves collaborating with other engineering teams and product owners, taking ownership of the team's work, and influencing the technical strategy and architecture of the platform. The position is a blend of leadership and hands-on technical guidance and requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will lead a dedicated team creating datasets for analytic and data science workloads.

Key Responsibilities:

• Data Pipeline Development: Oversee the design and buildout of ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.
• Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs.
• Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access.
• Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers.
• Design and architect data infrastructure analytical workloads.

Required Qualifications:

• 7 years of applicable experience.
• Proficiency in Python, specifically with ETL pipelines.
• Strong proficiency in SQL and experience in developing complex queries.
• Familiarity with pySpark, DBT, or other similar frameworks.
• Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP).
• Understanding of data warehousing concepts, dimensional modeling, and building data marts.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners.

Preferred Qualifications:

• Experience leading technical teams.
• Experience working with stakeholders and product owners to create a technical roadmap from project requirements.
• Experience working with healthcare data (Epic, Tuva, or OMOP Models a plus).
• Knowledge of data governance best practices in a cloud environment.
• Experience with machine learning flows on GCP.
• Experience with data design in BigQuery.

Education:

• College degree or certifications in relevant areas.

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. 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.

Great benefits for great people:

We 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.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.