Sr. Data Engineer

CVS Health•Irving, TX

4d•$114,379 - $185,400•Remote

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: Caremark LLC., a CVS Health company, is hiring for the following role in Irving, TX: Sr. 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.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Data Science, Analytics, Statistics, Mathematics, Engineering, or a related field and two (2) years of experience in the job offered or related occupation.
Two (2) years of experience in analyzing large data sets from multiple data sources.
Two (2) years of experience with JIRA, Rally, or Confluence.
Two (2) years of experience with Software Development Life Cycle (SDLC) and best practices.
Two (2) years of experience with Relational database concepts.
Two (2) years of experience in designing data models and solutions for analytical and reporting use cases.
Two (2) years of experience with Data warehousing.
Two (2) years of experience supporting large data, analytics, and technology modernization initiatives.
Two (2) years of experience with Data analysis for retail and/or healthcare industries.

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.
Conduct data requirements assessment and design sessions with customers to analyze and establish clearly defined business requirements.
Perform detailed qualitative and quantitative data analysis on source systems based in data warehouses and legacy data marts using SQL and Python.
Build and deliver the Enterprise Logical and Physical data models that align with the organizational Data Governance policies for various data domains and sub domains within the healthcare business.
Leverage knowledge of Google Cloud Big Data architecture, Google Cloud Big Query commands, and designing and optimizing queries to build data pipelines.
Utilize programming skills in Python, or similar languages to build robust data pipelines as needed.
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.