Data Engineer

CVS Health•Work At Home-Texas, TX

1d•$72,100 - $144,200•Onsite

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 Assists in the development of large-scale data structures and pipelines to organize, collect, and standardize data that helps generate insights and addresses reporting needs. Applies understanding of key business drivers to accomplish own work. Uses expertise, judgment, and precedents to contribute to the resolution of moderately complex problems. Leads portions of initiatives of limited scope, with guidance and direction. Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing. Collaborates with cross-functional teams to transform data and integrate algorithms and models into automated processes. Uses knowledge of cloud data platforms and experience designing and optimizing SQL queries to build data pipelines. Uses programming skills in Python and SQL to build robust data pipelines and scalable systems. Builds data marts and data models to support internal customers and downstream applications. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.

Requirements

1+ years of experience in a data engineering, analytics engineering, or related role
Experience writing SQL for data transformation and analysis
Experience with Python for data processing or pipeline development
Exposure to at least one cloud platform (GCP, AWS, or Azure)
Experience with version control using Git

Nice To Haves

Familiarity with Google Cloud Platform services (BigQuery, Cloud Composer, Cloud Storage, Spanner)
Familiarity with workflow orchestration tools such as Apache Airflow
Ability to troubleshoot data quality issues and communicate findings clearly
Strong attention to detail and ability to work independently on well-scoped tasks
Curiosity about healthcare data and willingness to learn domain-specific concepts
Comfort working in an Agile/Scrum team environment
Effective written and verbal communication skills

Responsibilities

Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
Collaborates with cross-functional teams to transform data and integrate algorithms and models into automated processes.
Uses knowledge of cloud data platforms and experience designing and optimizing SQL queries to build data pipelines.
Uses programming skills in Python and SQL to build robust data pipelines and scalable systems.
Builds data marts and data models to support internal customers and downstream applications.
Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.