Data Engineer, GCP

Stellenbeschreibung:

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

Core Competencies

Demonstrates expertise in designing and supporting scalable data pipelines and analytics solutions, with a strong focus on data quality, governance, and integration within healthcare environments. Proficient in utilizing Google Cloud Platform and various data engineering technologies to enable advanced analytics and operational decision-making.