Sr. Data Engineer
About The Position
At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary We're seeking a Sr. Data Engineer to design and implement data pipelines that power 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.
Requirements
- 5+ years of applicable work experience
- Proficiency in Python, specifically with ETL pipelines.
- Strong proficiency in SQL and experience in developing complex queries.
- Familiarity with pySpark, DBT, or other similar frameworks.
- Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP).
- Understanding of data warehousing concepts, dimensional modeling, and building data marts.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners.
Nice To Haves
- Knowledge of data governance best practices in a cloud environment.
- Experience with machine learning flows on GCP.
- Experience with data design in BigQuery
- Experience working with the Epic data model.
- Experience working with healthcare data (Tuva or OMOP Models a plus).
Responsibilities
- 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 Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.
- 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.
Benefits
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
- For more information, visit https://jobs.cvshealth.com/us/en/benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
