Senior Data Engineer: Data Pipelines & Analytics

CVS Health; Clifton (TX); On-site; USD 83,000 - 222,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

Paid time off

Retirement savings

Wellness programs

Job summary

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities.

This hands‑on role requires strong data engineering practices and the ability to translate business requirements into technical solutions. You will join a dedicated team creating datasets for analytics and data science workloads, shaping the Core Data Domain to support various access patterns and use cases.

Qualifications

• 5+ years of data engineering experience.
• Strong proficiency in SQL and complex queries.
• Experience in Python for ETL pipelines.
• Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP).
• Knowledge of data governance best practices in a cloud environment.
• Excellent communication and collaboration with data scientists, analysts, and product owners.

Responsibilities

• Data Modeling & Architecture: Develop and optimise 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 optimise 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 ML 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 modelling, and building data marts.

Skills

5+ years experience

SQL proficiency

Python ETL

Cloud deployment (Azure AWS GCP)

Data governance

Excellent communication

Education

Bachelor's degree preferred

Job description

CVS Health is seeking a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities.

This hands‑on role requires strong data engineering practices and the ability to translate business requirements into technical solutions. You will join a dedicated team creating datasets for analytics and data science workloads, shaping the Core Data Domain to support various access patterns and use cases.