Senior Data Engineer - Data Pipelines & Analytics

CVS Health Corporation

Massachusetts

Hybrid

USD 83,000 - 222,000

Full time

3 days ago

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Benefits offered by this job

Medical benefits

Dental benefits

Vision coverage

Job summary

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

This hands-on role requires expertise in data engineering best practices and translating business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads and will model the Core Data Domain to support various access patterns and use-cases.

Qualifications

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 workloads<br/>Understanding of data warehousing concepts, dimensional modeling, and building data marts.