Senior Data Engineer — Analytics, ML Pipelines

CVS Health; Montgomery (AL); On-site; USD 83,000 - 222,000; Full time

Benefits offered by this job

Benefits package

Bonus eligibility

Job summary

CVS Health is seeking a Sr. Data Engineer in the United States to design and implement data pipelines powering analytics for health-related datasets. The role focuses on data modeling, ETL/ELT pipelines, and cloud deployment across Azure, AWS, and GCP, with strong governance and collaboration with data scientists.

Ideal candidates have 5+ years of experience, strong SQL and Python skills, and a Bachelor's degree. Competitive pay, comprehensive benefits, and bonus eligibility are offered.

Qualifications

• 5+ years of applicable work experience.
• Strong proficiency in SQL and experience in 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.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners.

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 workloadsUnderstanding of data warehousing concepts, dimensional modeling, and building data marts.

Skills

SQL

Python

Data modeling

Communication

Education

Bachelor's degree

Tools

Azure

AWS

GCP

Job description

CVS Health is seeking a Sr. Data Engineer in the United States to design and implement data pipelines powering analytics for health-related datasets. The role focuses on data modeling, ETL/ELT pipelines, and cloud deployment across Azure, AWS, and GCP, with strong governance and collaboration with data scientists.

Ideal candidates have 5+ years of experience, strong SQL and Python skills, and a Bachelor's degree. Competitive pay, comprehensive benefits, and bonus eligibility are offered.