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About the Role

The Senior Data Engineer will design, build, and support data engineering solutions on Google Cloud Platform, focusing on scalable data pipelines, database integration, and ETL processes to support analytics, reporting, and downstream applications. The role involves data ingestion and transformation using GCP-native services and integration with enterprise databases.

Responsibilities

Design, develop, and maintain data pipelines using GCP services including BigQuery, Cloud Spanner, and Dataflow for batch and streaming data processing
Build and support ETL/ELT workflows that extract, transform, and load data across Oracle, Spanner, SQL Server, PostgreSQL, and other relational databases
Develop and optimize BigQuery datasets, tables, partitioning, and clustering strategies to support efficient querying and reporting
Implement and tune Dataflow pipelines for data transformation, enrichment, and movement between source systems and target data stores
Monitor and manage Compute Engine VMs, including CPU utilization, resource allocation, and performance tuning across GCP workloads
Support and troubleshoot other core GCP technologies such as Cloud Storage, Cloud Composer, Pub/Sub, and IAM as part of end-to-end data workflows
Apply data warehousing concepts including dimensional modeling, star/snowflake schemas, slowly changing dimensions, and data mart design
Develop and support ETL workflows using tools such as Informatica, integrating with GCP and on-premise database systems
Work extensively in Unix/Linux environments including shell scripting, file system navigation, permissions management, and log/file handling
Schedule, monitor, and troubleshoot batch jobs using Control-M, ensuring timely and reliable execution of data pipelines
Participate in Agile/JIRA-based development processes, including sprint planning, ticket tracking, status updates, and defect management
Collaborate with senior engineers and architects on performance tuning, query optimization, and database design across multiple platforms
Troubleshoot data pipeline failures, performance bottlenecks, and data quality issues across the stack
Document technical designs, operational runbooks, and support procedures for the platforms being built
Stay current with emerging AI/ML and GenAI tools and proactively apply them to improve productivity, automate repetitive tasks, and streamline development and data engineering workflows

Requirements

5+ years of experience in data engineering, software engineering, or database development
3+ years of hands-on experience with Google Cloud Platform (GCP) products, especially BigQuery, Cloud Spanner, and Dataflow
Strong experience working with multiple database platforms, especially Oracle, Spanner, SQL, and PostgreSQL
Working knowledge of Google ETL technologies and other core GCP services (Compute Engine/VMs, Cloud Storage, Cloud Composer, Pub/Sub)
Experience with performance tuning, including CPU utilization analysis and resource optimization on GCP compute resources
Solid understanding of data warehousing concepts (dimensional modeling, fact/dimension tables, ETL design patterns)
Experience with ETL tools such as Informatica for data integration and transformation
Strong Unix/Linux experience, including shell scripting and file system handling
Experience with job scheduling tools such as Control-M
Strong SQL development skills and ability to write/optimize complex queries
Good troubleshooting, communication, and collaboration skills
Awareness of AI/GenAI tools and techniques, with a willingness to continuously learn and upskill to adopt new technologies that improve engineering efficiency
Experience with additional databases such as MongoDB, MySQL, or Cassandra
Exposure to Cloud Composer (Airflow) for workflow orchestration
Experience with Kafka, Pub/Sub, or event-driven data architectures
Familiarity with Terraform or Infrastructure as Code practices.
Experience with GKE/Kubernetes
Exposure to CDC (Change Data Capture) tools and replication technologies
Experience in Agile/SAFe environments within large enterprises
Healthcare or retail industry experience
GCP certification (e.g., Professional Data Engineer) preferred
Familiarity with Agile methodologies and JIRA for project tracking and development workflows
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Skills

Google Cloud Platform (GCP)
BigQuery
Cloud Spanner
Dataflow
Oracle
PostgreSQL
SQL Server
ETL
Unix/Linux
Shell scripting
Informatica
Control-M
SQL
AI/ML
GenAI
MongoDB
MySQL
Cassandra
Cloud Composer
Airflow
Kafka
Pub/Sub
Terraform
Infrastructure as Code
GKE
Kubernetes
CDC
Agile
JIRA

Work Type

Full time

Experience Level

Senior

Education Level

Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)

Salary/Compensations

$83,430.00 - $222,480.00

Benefits

Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs

About the Company

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.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Equal Opportunity

CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services.
We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.