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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer with GCP experience - **Company:** Oak Street Health - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $72,100.0 - $144,200.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Data Analysis, Big Data, BigQuery, Health Informatics, Cloud Storage, Information Systems, Continuous Integration, Data as a Services, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Relational Databases, Database Development, Data Flow Control, Python (Programming Language), PostgreSQL, Meta-Data Management, Microsoft SQL Server, Operational Databases, Cloudera, Software Engineering, Google Cloud, Delivery Pipeline, Snowflake, Apache Spark, Pyspark, Information Technology, Data Lineage, Enterprise Integration, Data Management, Epic Clarity, Tools for Reporting, Cloud Migration, Epic Caboodle, Software Version Control, Data Pipelines, Workday, Control M - **Published:** August 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=314e85ac4ab93092 ## About the Role * Bachelor's degree or equivalent work experience in Computer Science, Information Systems, Engineering, Mathematics, Statistics, Data Science, Analytics, or related field. * 4+ years of experience in Data Engineering, ETL Development, Analytics Engineering, Business Intelligence, or related technical roles. * 3+ years of hands-on SQL development experience. * 2+ years of experience building and supporting ETL/ELT pipelines. * Experience working with cloud platforms such as Google Cloud Platform (GCP) * Experience developing solutions using Python, PySpark, Spark, or similar data engineering technologies. * Experience with orchestration and scheduling tools such as Airflow, Control-M, Tidal, or equivalent. * Experience with relational database platforms such as SQL Server, PostgreSQL, BigQuery, Snowflake, or similar technologies. * Experience designing, developing, and supporting large-scale data integration solutions. * Experience working with source control and CI/CD practices. * Experience troubleshooting and supporting production data pipelines. * Experience implementing data quality validation, reconciliation, and monitoring processes. * Experience supporting healthcare, clinical, financial, or operational reporting environments. Preferred Epic-Specific Requirement (if you want a healthcare-focused Data Engineer) * Experience working with Epic Clarity, Epic Caboodle, Cogito Data Model, or healthcare EHR data platforms., * Experience supporting healthcare analytics, population health, quality reporting, revenue cycle, provider operations, or clinical reporting environments. * Understanding of Epic healthcare data structures, healthcare data workflows, and healthcare business processes. * Experience supporting Google Cloud Platform data services including BigQuery, Composer (Airflow), Dataflow, Dataproc, Cloud Storage, and related technologies. * Experience with AI-enabled software development, automation, or data engineering solutions. * Strong analytical and problem-solving skills. * Ability to communicate effectively with both technical and non-technical stakeholders. * Experience working in Agile and product-based delivery models. * Demonstrated ability to balance multiple priorities while maintaining high-quality deliverables. * Strong documentation, knowledge-sharing, and collaboration skills. * Experience mentoring junior engineers and contributing to engineering best practices * Experience with data governance, metadata management, and data lineage concepts. * Experience supporting large-scale data migration, cloud modernization, or reporting modernization initiatives. Education Bachelor's degree or equivalent work experience in Computer Science, Information Systems, Software Engineering, Data Science, Analytics, Mathematics, Statistics, Engineering, or related discipline. Master's degree preferred. ## Description The Data Engineer is responsible for designing, building, and supporting scalable data pipelines, data models, and analytical data assets that enable clinical, operational, financial, and strategic decision-making across CVS Health's healthcare delivery organizations. This role supports enterprise analytics initiatives spanning MinuteClinic, Virtual Care, Behavioral Health, Oak Street Health, and additional healthcare business domains. The position partners closely with data engineers, analytics teams, business stakeholders, clinicians, and product owners to deliver trusted, high-quality data solutions. The team manages the ingestion, transformation, and delivery of data from Epic Clarity, Epic Caboodle, Workday, retail healthcare platforms, vendor systems, and other enterprise data sources into Google Cloud Platform (GCP) and BigQuery-based analytics environments. This includes developing automated ETL/ELT pipelines, supporting cloud modernization initiatives, maintaining production data operations, ensuring data quality and governance standards, and enabling advanced analytics, AI, and reporting solutions. This role will help solve complex healthcare data challenges including large-scale data migration, integration of clinical and operational datasets, pipeline automation, reporting modernization, production support, and the delivery of reliable data products that support patient care, operational excellence, regulatory reporting, and business growth. ## Related Videos - [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) - [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) - [Destigmatizing the Workplace: Building Real Inclusion](https://www.wearedevelopers.com/videos/1492-destigmatizing-the-workplace-building-real-inclusion) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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