Analytic Data Engineer

Job Description

DescriptionAt 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 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. You will work with other Data Engineers and Sr.

Data Engineers on designing, implementing, and testing data pipelines. Your key responsibilities are:Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources.

Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries. Data Quality & Governance: follow 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 modelsDocumentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Required Qualifications2+ years of applicable work experienceProficiency in Python, specifically with ETL pipelinesStrong proficiency in SQL and experience in developing complex queriesExperience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP)Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts. Preferred QualificationsExperience working with healthcare data, especially Epic.

Experience using GCP’s BigQueryKnowledge of data governance best practices in a cloud environment. Experience working with Machine Learning processes.

EducationCollege degree or certification in related fieldsAnticipated Weekly Hours40Time TypeFull timePay RangeThe typical pay range for this role is:$64,890. 00 – $173,040. 00

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