Senior Data Engineer

VeeRteq Solutions Inc.; Irving (TX); Hybrid; USD 140,000 - 180,000; Full time

Job summary

VeeRteq Solutions Inc. is hiring a Senior Data Engineer to support healthcare data platforms on Google Cloud Platform.

You will design and maintain scalable ETL/ELT pipelines and lakehouse components, working across core data engineering and healthcare data domains. You will build robust data pipelines with PySpark, dbt, Dataproc, and Data Composer, and maintain data solutions using BigQuery, BigLake, Apache Iceberg, and Starburst.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, IT, Engineering, Data Engineering, Data Science, or 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 with healthcare data domains: Claims, Member, Provider, or Clinical data.
• Understanding of healthcare data integration, healthcare data quality, data governance, healthcare data security practices.

Responsibilities

• Design, develop, and support scalable data pipelines and healthcare data platforms on GCP.
• Build and optimize ETL/ELT pipelines using PySpark, dbt, Dataproc, and Data Composer.
• Develop and maintain data solutions using BigQuery, BigLake, 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.

Skills

Data Modeling

Performance Optimization

Production Monitoring & Troubleshoot

Stakeholder Collaboration

Problem Solving & Analytics

Data Quality & Governance

Education

Bachelor’s or Master’s degree in Computer Science, IT, Engineering, Data Engineering, Data Science

Tools

PySpark

dbt

Dataproc

Data Composer

BigQuery

BigLake

Apache Iceberg

Starburst

Kafka

APIs

SFTP

SQL

ETL/ELT

Job description

VeeRteq 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.

Role Overview

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.

Responsibilities

• Design, develop, and support scalable data pipelines and healthcare data platforms on GCP.
• Build and optimize ETL/ELT pipelines using PySpark, dbt, Dataproc, and Data Composer.
• Develop and maintain data solutions using BigQuery, BigLake, 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.

Required Qualifications

• 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.

Technologies

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

Mandatory Technical Skills

• GCP
• BigQuery
• BigLake
• Dataproc
• Data Composer
• Apache Iceberg
• Starburst
• dbt
• PySpark
• SQL
• ETL/ELT
• Kafka
• API Integrations
• SFTP
• Data Modeling
• Performance Optimization
• Production Monitoring & Troubleshooting

Preferred Qualifications

• 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.

Key Competencies

• 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

Location and Work Style

Irving, TX (hybrid)