Data Engineer

CVS Health•Irving, TX

5d•$114,379 - $144,200•Onsite

About The Position

Aetna Resources LLC, a CVS Health company, is hiring for the following role in Irving, TX: 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. Multiple positions.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Analytics, Civil Engineering or a related field and two (2) years of experience in the job offered or related occupation.
Six (6) months of experience in Hadoop and Hive.
Six (6) months of experience in Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
Six (6) months of experience in Building data intensive applications, data pipelines, tackling challenging architectural and scalability problems.
Six (6) months of experience in Infrastructure planning and management of production deployment, post-production support, production bug fixes and production monitoring and on-call support, including collaborating with cross-functional teams, business analysts and customers.
Six (6) months of experience in Analyzing large data sets from multiple data sources.
Six (6) months of experience in SAS or SQL programming languages.
Six (6) months of experience in Spark, PySpark, or Scala.
Six (6) months of experience in Hadoop architecture or HDFS commands.

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 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.
Experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case.