Staff Data Engineer

CVS Health•Farmers Branch, TX

5d•$106,605 - $284,280

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.

Requirements

7+ years of relevant experience
Proven ability to complete projects in a timely manner while clearly measuring progress
Ability to use AI driven tooling
Strong software engineering fundamentals (data structures, algorithms, async programming patterns, object-oriented design, parallel programming)
Strong understanding and demonstrated experience with at least one popular programming language (.NET or Java) and SQL constructs
Experience with cloud-based systems (Azure / AWS / GCP).
High level understanding of big data design (data lake, data mesh, data warehouse) and data normalization patterns
Strong communication skills
Ability to collaborate closely with product, data analytics teams
Proficiency in building scalable data pipelines on Big Data Platforms and ETL/ELT workflows

Nice To Haves

3+ years in senior or lead roles
Expert-level skills in writing and optimizing complex queries (preferably across multiple databases – e.g., SQL Server, Snowflake, Postgres)
Solid knowledge of Apache Kafka (Kafka Streams, Schema Registry, Avro/JSON serialization)
Advanced experience building distributed data pipelines, ETL/ELT workflows, and real-time/streaming jobs (Spark SQL, PySpark, Spark Structured Streaming)
Strong understanding of data modeling, data quality, and governance in regulated environments (HIPAA, HITRUST)
Familiarity with Epic Interconnect APIs, Bridges, or other healthcare interoperability frameworks
Experience with Azure (preferred), AWS, or GCP for data engineering workloads
Experience working on Databricks platform
Experience with DBT and Dagster
Strong Python programming experience for data ingestion, transformation, and automation workflows
Strong experience with revision control (Git)
Demonstrated experience with Metrics, Logging, Monitoring and Alerting tools
Strong experience with use of RESTful APIs
High level understanding of system deployment tasks and technologies. (CI/CD Pipeline, K8s, Terraform)

Responsibilities

Communicate with business leaders to help translate requirements into functional specification
Develop broad understanding of business logic and functionality of current systems
Analyze and manipulate data by writing and running SQL queries
Analyze logs to identify and prevent potential issues from occurring
Deliver clean and functional code in accordance with business requirements
Consume data from any source, such a flat files, streaming systems, or RESTful APIs
Engineer scalable, reliable, and performant systems to manage data
Collaborate closely with other Engineers, QA, Scrum master, Product Manager in your team as well as across the organization
Build quality systems while expanding offerings to dependent teams
Comfortable in multiple roles, from Design and Development to Code Deployment to and monitoring and investigating in production systems