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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - AdTech - **Company:** CVS Health - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Salary:** $92,700.0 - $222,480.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Cloud Database, Computer Programming, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Database Applications, Relational Databases, Python (Programming Language), Microsoft SQL Server, Oracle (Applications), Performance Tuning, Cloud Services, Standard Sql, SQL Databases, Teradata SQL, Workflow Management Systems, Google Cloud, Snowflake, Change Data Capture, Pyspark, Information Technology, Real Time Data, Data Management, Databricks - **Published:** September 20, 2026 - **Apply:** https://www.phoenixjobs.com/job.asp?id=3394209041&tx=JP4741FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 3+ years of experience working with SQL and relational database management systems * 3+ years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure, Databricks, Snowflake etc. * 3+ years of experience in on-prem Data Engineering Platforms such as Microsoft SQL Server, Oracle, Teradata etc. * Programming and modifying code in languages like SQL, Python, and PySpark to support and implement Cloud based and on-prem data warehousing services. * Hands-on experience with dimensional data modeling, schema design, and data warehousing * Hands-on experience with troubleshooting data issues * Hands-on experience with various performance improvement techniques * Willingness to identify and implement process improvements, and best practices as well as ability to take ownership to work within a fast-paced, collaborative, and team-based support environment * Excellent oral and written communication skills Preferred Qualifications * Experience with data platforms such as BigQuery, Teradata, Snowflake, Azure, AWS, or GCP. * Experience supporting healthcare, pharmacy benefit management (PBM), or specialty pharmacy data environments. * Familiarity with real-time data integration, CDC (Change Data Capture), or event-driven data architectures. * Experience with workflow orchestration and automation tools. * Exposure to cloud migration initiatives and hybrid data architectures. * Experience with monitoring, observability, and operational support best practices. Education Bachelor's degree in Computer Science or a related field or equivalent work experience. ## Description We are seeking a highly skilled Senior Data Engineer to join our Data Engineering team to design, build, robust and scalable solutions to support data-driven applications analytics and business intelligence solutions. You will partner closely with business stakeholders, analysts, product teams, and fellow engineers to engineer scalable, cloud-native data pipelines. Leveraging the modern GCP data stack you will own the full data lifecycle - from data modeling and ETL/ELT development to performance tuning, troubleshooting, and continuous improvement. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Making Data Warehouses fast. 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