> Markdown version of [/jobs/ext/4638000-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/4638000-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** CVS Health - **Location:** Oklahoma City, OK, United States (Remote available) - **Experience:** Expert - **Salary:** $83,430.0 - $222,480.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Airflow, JIRA, BigQuery, Software Bug Management, Cloud Computing, Cloud Storage, Databases, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Stores, Data Systems, Data Warehousing, Relational Databases, Database Design, Database Development, Dimensional Modeling, File Systems, Distributed Data Store, Data Flow Control, Identity and Access Management, Issue Tracking Systems, Job Scheduling, PostgreSQL, Machine Learning, Microsoft SQL Server, MongoDB, MySQL, Oracle (Applications), Performance Tuning, Scrum Methodology, Query Optimization, Shell Script, Software Engineering, SQL Databases, Systems Integration, Workflow Management Systems, Google Cloud, Data Ingestion, Generative AI, Change Data Capture, Kubernetes, Infrastructure Automation Frameworks, Cassandra, Apache Kafka, Data Management, Terraform, Data Pipelines, Control M - **Published:** November 8, 2026 - **Apply:** https://dejobs.org/x/x/E476638B7B694C0F99D412053BB10542/job/ ## About the Role * 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 PREFERRED QUALIFICATION S * 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, Bachelor's degree or equivalent experience (High School Diploma and 4 years relevant experience) ## Description The Senior Data Engineer will design, build, and support data engineering solutions on Google Cloud Platform, with a focus on scalable data pipelines, database integration, and ETL processes that enable analytics, reporting, and downstream application consumption. The role is responsible for data ingestion and transformation using GCP-native services such as BigQuery, Spanner, and Dataflow, alongside integration with enterprise databases including Oracle, PostgreSQL, and SQL Server. The Senior Data Engineer will possess strong hands-on experience with GCP data and compute services, relational and distributed databases, ETL tooling, and Unix/Linux environments. This individual will contribute to the design, development, performance tuning, and operational support of data platforms, working closely with senior engineers and architects to deliver reliable, efficient, and well-monitored data solutions. Expectations for the Role * 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