Sr. Data Engineer

CVS Health•Irving, TX

1d•$114,379 - $185,400•Remote

About The Position

Aetna Resources LLC, a CVS Health company, is hiring for the following role in Irving, TX: 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 Google Cloud Platform architecture; 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, Statistics, Mathematics, Analytics, Engineering or a related field and two (2) years of experience in the job offered or related occupation.
Two (2) years of experience in Agile productivity tools and leading incremental software releases
Two (2) years of experience in Oracle and DB2
Two (2) years of experience in SQL
Two (2) years of experience in Developing backend services, performing code reviews, and collaborating with peers on software development solutions
Two (2) years of experience in Contributing to large-scale applications development, data science, or data analytics projects in healthcare, business, or retail sector
Two (2) years of experience in Extract/Transform/Load (ETL) processes
Two (2) years of experience in Cloud components including cluster management
Two (2) years of experience in Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design
Two (2) years of experience in Healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy

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 Google Cloud Platform architecture
Design and optimize 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