Staff Data Engineer - Remote Eligible

Staff Data Engineer

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: Aetna Resources LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Staff Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; test and maintain systems and troubleshoot malfunctions; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Telecommuting available. Multiple positions.

Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Engineering, or a related field and three (3) years of experience in the job offered or related occupation. Requires three (3) years of experience in each of the following: • Data analysis for large data sets in healthcare, business, or retail sector; • Programming in Java, Python, and R; • Spark, PySpark, or Scala; • REST, SOAP and Web Service APIs; • Hadoop architecture and HDFS commands; • Hive; • Vertex AI; • Designing and optimizing queries to build data pipelines; • Healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy; • Large data, analytics, and technology modernization initiatives; • Writing Extract/Transform/Load (ETL) processes; • Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); • Managing large-scale data structures or ETL workflows; • Data analytics, data engineering, and data visualization; and • Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design.

Pay Range: $155064.00/year to $230000.00/year.