Aetna Resources LLC, a CVS Health company, is hiring for the following role in Hartford, CT: Sr. Data Engineer to design, build and manage large scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to 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; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; 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; experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case; and mentor junior team members. Telecommuting available. Multiple positions.

Requirements: Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Data Science, Statistics, Mathematics, Analytics, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following: Analyzing large data sets from multiple data sources; and SAS or SQL programming languages. Requires six (6) months of experience in each of the following: Programming in Java, Python, or R; Hadoop architecture or HDFS commands; and Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP). Any related occupation, such as Database Architect, Computer Systems Enginner/Architect, Software Developer, Network Engineer, or Programmer Analyst.