Senior Data Engineer

Vee Rteq Solutions Inc. is hiring a Senior Data Engineer to support healthcare data platforms. The role focuses on designing and maintaining scalable, GCP-based ETL/ELT pipelines and lakehouse solutions, with hands‑on work across core data engineering and healthcare data domains.

You will build and improve healthcare data pipelines on Google Cloud Platform, ensuring reliable data delivery and strong data quality. Work includes developing and optimizing ETL/ELT workflows, lakehouse components, and production support activities. The position also involves integrating healthcare data through common ingestion patterns and collaborating across technical and business teams.

• Design, develop, and support scalable data pipelines and healthcare data platforms on GCP.
• Build and optimize ETL/ELT pipelines using Py Spark ,
  dbt
  , Dataproc
  , and Data Composer
  .
• Develop and maintain data solutions using Big Query
  , Big Lake
  , Apache Iceberg
  , and Starburst
  .
• Implement healthcare data integrations using APIs
  , SFTP
  , and Kafka
  .
• Design scalable data models and ensure data quality
  , reliability
  , and performance
  .
• Perform data validation, troubleshooting, and performance optimization across data platforms.
• Support production deployments, including monitoring, troubleshooting, and issue resolution.
• Implement and maintain data governance, security, and data management best practices.
• Collaborate with architects, data analysts, business stakeholders, and engineering teams.
• Support healthcare data integration and data quality initiatives.
• Contribute to modern lakehouse architecture and large-scale distributed data processing.

• Bachelor’s or Master’s degree in Computer Science
  , Information Technology
  , Engineering
  , Data Engineering
  , Data Science
  , or a related field.
• 8+ years of experience in Data Engineering and Cloud Data Platforms.
• Strong hands‑on experience with Google Cloud Platform (GCP).
• Experience building and supporting large‑scale healthcare data platforms.
• Experience working with one or more healthcare data domains:
  Claims
  , Member
  , Provider
  , or Clinical data.
• Understanding of healthcare data integration, healthcare data quality, data governance, healthcare data security practices.

Google Cloud Platform (GCP), Dataproc, Data Composer, Big Query, Big Lake, Apache Iceberg, Starburst, dbt, PySpark, SQL, ETL/ELT, Kafka, APIs, SFTP.

• GCP
• Big Query
• Big Lake
• Dataproc
• Data Composer
• Apache Iceberg
• Starburst
• dbt
• Py Spark
• SQL
• ETL/ELT
• Kafka
• API Integrations
• SFTP
• Data Modeling
• Performance Optimization
• Production Monitoring & Troubleshooting

• Experience with healthcare interoperability standards such as FHIR
  , HL7
  , or EDI
  .
• GCP or other relevant cloud certifications.
• Experience with cloud‑native data platforms.
• Experience working in Agile/Scrum delivery environments.
• Experience with modern lakehouse architectures and open table formats.
• Experience with cloud‑native monitoring and observability.
• Experience implementing automated data quality practices.
• Experience optimizing large‑scale distributed processing and analytical workloads.

• Data Engineering & Architecture
• GCP Cloud Data Platforms
• Healthcare Data Engineering
• ETL/ELT Development
• Data Modeling
• Performance Optimization
• Data Quality & Governance
• Production Support & Troubleshooting
• Problem Solving & Analytical Skills
• Stakeholder Collaboration

Irving, TX (hybrid)