Data Engineer: Real-Time Analytics on GCP

CVS Health; Hartford (CT); On-site; USD 79,000 - 159,000; Full time

Benefits offered by this job

Benefits package

Bonus program

Job summary

CVS Health is seeking a Data Engineer to support enterprise data platforms enabling analytics, AI-driven insights, member communications, and BI capabilities. The role focuses on GCP, modern data engineering, cloud-native architectures, and governance in a regulated environment.

You will design, develop, and optimize scalable data pipelines and data products across BigQuery, Dataflow, Pub/Sub, and more, collaborating with architects, data scientists, and stakeholders to deliver secure, reliable

Qualifications

• 5+ years of professional experience in Data Engineering, Data Platforms, or Data Integration.
• 3+ years of hands-on experience with Google Cloud Platform data services.
• 3+ years designing, developing, and supporting large-scale batch and streaming data pipelines.
• Strong expertise in Python, SQL, Spark/PySpark, Apache Beam, BigQuery, Dataflow, Pub/Sub, and Cloud Composer.
• Experience with enterprise data warehouse platforms including BigQuery, Snowflake, Redshift, or Teradata.
• Experience with data modeling, data architecture, and distributed systems.
• Experience implementing CI/CD pipelines and Infrastructure as Code using Terraform, Git, and cloud-native deployment tools.
• Experience working in Agile and SAFe delivery environments.
• Strong analytical, troubleshooting, documentation, and problem-solving skills.

Responsibilities

• Design, develop, and maintain scalable batch and real-time data pipelines using GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Functions, and Cloud Run.
• Build reusable and maintainable ingestion, transformation, and orchestration frameworks using Python, SQL, Spark/PySpark, Apache Beam.
• Develop data integration solutions leveraging APIs, event-driven architectures, and cloud-native services.
• Build and support enterprise-grade data lake, data warehouse, and streaming solutions across GCP and AWS.
• Independently design, develop, and deploy cloud-native data products supporting analytics, reporting, AI/ML, and operational workloads.
• Participate in enterprise cloud migration initiatives and modernization efforts, helping define migration strategies and implementation roadmaps.
• Collaborate with business stakeholders, architects, product managers, and engineering teams to deliver scalable data solutions.
• Participate in Agile and SAFe delivery frameworks across onshore and offshore teams.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Skills

Python

SQL

BigQuery

Dataflow

Pub/Sub

Spark/PySpark

Apache Beam

Cloud Composer

GCP

Education

Bachelor's degree

Tools

Airflow

Terraform

GitHub Actions

GitLab CI/CD

Job description

CVS Health is seeking a Data Engineer to support enterprise data platforms enabling analytics, AI-driven insights, member communications, and BI capabilities. The role focuses on GCP, modern data engineering, cloud-native architectures, and governance in a regulated environment.

You will design, develop, and optimize scalable data pipelines and data products across BigQuery, Dataflow, Pub/Sub, and more, collaborating with architects, data scientists, and stakeholders to deliver secure, reliable