Senior Data Engineer: Cloud Data Pipelines & Analytics

CVS Health; Lake Michigan Beach (MI); On-site; USD 83,000 - 222,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Sr. Data Engineer to design and implement robust data pipelines powering analytics and data science workloads. You will model the Core Data Domain and collaborate with data scientists to enable scalable analytics across multiple sources.

You will build, optimize, and govern data infrastructure for analytics, ensuring data quality, security, and cost efficiency while partnering with product owners and analysts to deliver impactful data solutions.

Qualifications

• 5+ years of applicable work experience.
• Strong proficiency in SQL and experience developing complex queries.
• Experience in Python, specifically with ETL pipelines.
• Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP).
• Knowledge of data governance best practices in a cloud environment.

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 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 modelling, and building data marts.

Job description

CVS Health is seeking a Sr. Data Engineer to design and implement robust data pipelines powering analytics and data science workloads. You will model the Core Data Domain and collaborate with data scientists to enable scalable analytics across multiple sources.

You will build, optimize, and govern data infrastructure for analytics, ensuring data quality, security, and cost efficiency while partnering with product owners and analysts to deliver impactful data solutions.