Data Engineer
$64,890–$173,040 year
On-siteMadison, Wisconsin, United States
Job Summary
Design and implement data pipelines that power analytical capabilities by translating business requirements into technical solutions. Work with other Data Engineers and Sr. Data Engineers to create datasets for analytic and data science workloads, focusing on deploying pipelines in cloud environments like Azure, AWS, or GCP. Develop complex SQL queries and ETL processes using Python while collaborating effectively with data scientists and analysts. This hands-on role requires strong proficiency in data engineering best practices and experience with healthcare data, particularly Epic. You will join a dedicated team at CVS Health® to simplify health care, with an anticipated weekly schedule of 40 hours.
Required Qualifications
- 2+ years of applicable work experience
- Strong proficiency in SQL and experience in developing complex queries
- Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP)
- Experience with Python, specifically with ETL pipelines
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts
- Bachelor's degree preferred/specialized training/relevant professional qualification or equivalent work experience
Desired Qualifications
- Experience working with healthcare data, especially Epic
- Experience using GCP's BigQuery
- Knowledge of data governance best practices in a cloud environment
- Experience using and enabling AI for data analysis
- Experience with Machine Learning processes
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