Data Engineer

CVS Health•Wellesley, MA

4d•$140,130 - $173,040•Remote

About The Position

Aetna Resources, LLC, a CVS Health company, is hiring for the following role in Wellesley, MA: 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; 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, Information Systems, Analytics, or a related field and one (1) year of experience in the job offered or related role
One (1) year of experience in CI/CD and GIT
One (1) year of experience in Python and Node.js
One (1) year of experience in XML, JSON, HTML, and CSS
One (1) year of experience in JavaScript and Agile methodologies
One (1) year of experience in SQL and PySpark
One (1) year of experience in NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
One (1) year of experience in Contributing to large-scale applications development, data science, or data analytics projects in healthcare, business, or retail sector
One (1) year of experience in Extract/Transform/Load (ETL) processes
One (1) year of experience in Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design

Responsibilities

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