Data Engineer, GCP

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🔥 0 minutes ago

🐊 Florida – Remote

🐊 Florida – Remote

💵 $72.1k - $144.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Design, build, and support scalable data pipelines, data models, and analytical data assets • Enable clinical, operational, financial, and strategic decision-making across CVS Health healthcare delivery organizations • Support enterprise analytics initiatives spanning MinuteClinic, Virtual Care, Behavioral Health, Oak Street Health, and other healthcare domains • Partner with data engineers, analytics teams, business stakeholders, clinicians, and product owners • Ingest, transform, and deliver data from Epic Clarity, Epic Caboodle, Workday, retail healthcare platforms, vendor systems, and other enterprise sources into GCP and BigQuery analytics environments • Develop automated ETL/ELT pipelines • Support cloud modernization initiatives • Maintain production data operations • Ensure data quality and governance standards • Enable advanced analytics, AI, and reporting solutions • Solve healthcare data challenges including large-scale data migration, clinical and operational data integration, pipeline automation, reporting modernization, production support, and reliable data product delivery • Support patient care, operational excellence, regulatory reporting, and business growth

🎯 Requirements

• Bachelor's degree or equivalent work experience in Computer Science, Information Systems, Engineering, Mathematics, Statistics, Data Science, Analytics, or a 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 with 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 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 experience with Epic Clarity, Epic Caboodle, Cogito Data Model, or healthcare EHR data platforms • Preferred 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 GCP 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 technical and non-technical stakeholders • Experience working in Agile and product-based delivery models • 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 • Master's degree preferred

🏖️ Benefits

• CVS Health bonus, commission or short-term incentive program in addition to the base pay range • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being, based on eligibility