Senior Data Engineer

CVS Health Corporation; Deutschland; Remote; EUR 75.000 - 199.000; Vollzeit

Benefits dieser Stelle

Medical benefits

Dental benefits

Vision coverage

Paid time off

Zusammenfassung

CVS Health Corporation is seeking a Sr. Data Engineer to design and implement data pipelines powering analytics and data science workloads.

You will model the Core Data Domain and collaborate with data scientists, analysts, and product owners to translate business requirements into robust data solutions. The role emphasizes data modeling, ETL/ELT development, and performance optimization in a cloud environment, with a strong focus on data quality and governance.

Qualifikationen

• Strong proficiency in SQL and development of complex queries.
• Experience with Python for ETL pipelines and data workflows.
• Experience deploying data pipelines in cloud environments (Azure, AWS, GCP).
• Knowledge of data governance best practices in cloud environments.
• Excellent communication and collaboration with data scientists, analysts, and product owners.

Aufgaben

• Design and implement data models and schemas for analytics, reporting, and ML.
• Build and optimize ETL/ELT pipelines ingesting data from multiple sources.
• Tune performance, partitioning, and clustering to improve query speeds and reduce costs.
• Establish data quality standards, governance, and security for data storage and access.
• Collaborate with data scientists and analysts to integrate data with BI tools and ML models.
• Create documentation for pipelines and processes; mentor junior data engineers.

Kenntnisse

SQL proficiency

Python ETL

Data modeling

Communication

Ausbildung

Bachelor's degree

Tools

Azure

AWS

GCP

Jobbeschreibung

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're seeking a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities. This hands‑on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions.

You will be part of a dedicated team creating datasets for analytic and data science workloads. You will also have a key role in modeling the Core Data Domain to best support various access patterns and use‑cases.

Key Responsibilities

• Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.
• Data Pipeline Development: Design and build 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.
• Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models
• 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
  Understanding of data warehousing concepts, dimensional modeling, and building data marts.

Required Qualifications

• Strong proficiency in SQL and experience in developing complex queries
• Experience in Python, specifically with ETL pipelines
• Strong proficiency in SQL and experience in developing complex queries
• Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP)
• Knowledge of data governance best practices in a cloud environment.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners.

Preferred Qualifications

• Experience with machine learning flows on GCP
• Experience working with healthcare data (Tuva or OMOP Models a plus)

Education

- Bachelor's degree preferred/specialized training/relevant professional qualification.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$83,430.00 - $222,480.00

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.

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 people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 10/09/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.