Data Engineer, GCP

Jobtailor; Deutschland; Vor Ort; EUR 104.000 - 156.000; Vollzeit

Zusammenfassung

CVS Health is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and analytics assets across healthcare domains. You will ingest data from Epic Clarity, Epic Caboodle, Workday, and other systems into GCP/BigQuery, enabling AI-enabled analytics and reporting for clinical and operational teams.

You will collaborate with data engineers, stakeholders, and clinicians, ensuring data quality, governance, and CI/CD practices, while supporting cloud modernization

Qualifikationen

• Bachelor's degree or equivalent in CS, IS, Engineering, Math, Stats, Data Science or related field.
• 4+ years in Data Engineering, ETL/Analytics roles.
• 3+ years of hands-on SQL development experience.
• 2+ years building and supporting ETL/ELT pipelines.
• Experience with Google Cloud Platform (GCP).
• Python, PySpark or Spark experience.
• Experience with Airflow, Control-M, Tidal or equivalent orchestration tools.
• Experience with SQL Server, PostgreSQL, BigQuery, Snowflake or similar.
• Experience designing large-scale data integration solutions.
• Experience with source control and CI/CD practices.
• Experience healthcare, clinical, financial, or operational reporting environments.
• Master's degree preferred.

Aufgaben

• Design, build, and support scalable data pipelines and analytical data assets.
• Enable decision-making across CVS Health healthcare delivery organizations.
• Support analytics initiatives across MinuteClinic, Virtual Care, Behavioral Health, Oak Street Health, and more.
• Ingest and transform data from Epic Clarity, Epic Caboodle, Workday, and other sources into GCP/BigQuery.
• Develop automated ETL/ELT pipelines and support cloud modernization.
• Maintain production data operations and ensure data quality and governance.
• Enable advanced analytics, AI, and reporting solutions.
• Solve healthcare data challenges including data migration and data integration.
• Support patient care, regulatory reporting, and business growth.

Kenntnisse

SQL Development

Python

ETL/ELT

GCP

BigQuery

Data Governance

Data Quality

Healthcare Analytics

Airflow

CI/CD

Data Modeling

Cloud Modernization

Ausbildung

Bachelor's degree or equivalent in CS/Engineering/Analytics

Master's degree preferred

Tools

Epic Clarity

Epic Caboodle

Snowflake

Composer

Dataflow

Dataproc

Cloud Storage

BigQuery

Jobbeschreibung

• 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.

Highest-signal resume keywords

• Data Engineering
• ETL/ELT Pipeline Development
• Google Cloud Platform (GCP)
• SQL Development
• Healthcare Data Integration

ATS Optimization Keywords

Hard Skills

• Data Pipeline Design
• ETL Development
• SQL
• Python
• PySpark
• BigQuery
• Data Quality Validation
• Data Governance
• Cloud Modernization
• Data Integration Solutions

Soft Skills

• Analytical Skills
• Problem-Solving Skills
• Effective Communication
• Collaboration Skills
• Mentoring

Industry Keywords

• Healthcare Analytics
• Operational Reporting
• Clinical Reporting
• Population Health
• Regulatory Reporting

Tools & Technologies

• Airflow
• Control-M
• Tidal
• Epic Clarity
• Epic Caboodle
• Snowflake
• Composer
• Dataflow
• Dataproc
• Cloud Storage