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# Data Engineer

- **Company:** CVS Health
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $64,890.0 - $173,040.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Code Review, Data Validation, Data Discovery, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Python (Programming Language), PostgreSQL, Machine Learning, Automation of Marketing, SQL Databases, Google Cloud, Data Storage Technologies, Data Ingestion, System Availability, Information Technology, Luigi, Data Management, Software Version Control
- **Published:** June 10, 2026
- **Apply:** https://dejobs.org/x/x/1586FA880FE449F5966E351ED5887B26/job/

## About the Role

* 2+ years of applicable work experience
 * Strong Python skills
 * Proficient in at least one of the SQL dialects (Redshift, PostgreSQL, etc.)
 * Confidence and excitement around designing and improving ETL systems with associated methodology and approach required; experience building ETL systems a plus
 * Independent self-starter
 * Knowledgeable about data modeling, data access, and data storage techniques
 * Understands the value of partnership within teams
 * Experience supporting business intelligence/analytics platform
 * Experience in data modeling, data governance and data discovery tools
 * Interest in taking on learning and leadership opportunities that will arise

Preferred Qualifications

 * Experience with programmatic workflow systems (Airflow, Luigi, etc.)
 * Experience owning the design of ETL systems to generate dynamic workflows
 * Experience with cloud computing services (AWS, Azure, GCP, etc.), * Bachelors of Science in Engineering or Computer Science or a related field or equivalent work experience.

## Description

* Managing and designing ETL system to ingest and transform data for purposes of analysis and reporting; ensures monitoring, alerting, and high availability of the system to all data consumers both internal and external
 * Write Airflow DAGs to execute tasks and collaborate with other engineers on solutions to deploy and update machine learning models
 * Use sound agile development practices (version control, testing, code reviewing, etc.) to develop and deliver data products
 * Manage process and strategy for 3rd party data ingestion and export
 * Help drive optimization, testing, and tooling to improve data quality
 * Translate business needs into data requirements, with attention to detail
 * Analyze, tune, troubleshoot and support the data infrastructure ensuring the performance, integrity, and security of data
 * Collaborate with other engineers to build and evolve data models in various components of the data stack
 * Implement data validation methods and data analysis tools


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