Senior Data Engineer
Senior
Big Data
Bigdata
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Lake
Data Lakehouse
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Transforms
Data Warehouse
Database
Databases
Dataproc
Engineer
ETL
Google Cloud Bigquery
Google Cloud Platform
Healthcare Data Engineering
Healthcare Data Integration
Informatica
Reporting and Analytics
SQL
Streaming Data
Job Description
VeeRteq Solutions Inc. is hiring a Senior Data Engineer for healthcare data platforms on GCP in a hybrid setup in Irving, TX.
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 with 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
Requirements
- 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 Data, Member Data, Provider Data, Clinical Data
- Understanding of healthcare data integration, healthcare data quality, data governance, healthcare data management, and data security practices
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
Technologies
- Google Cloud Platform (GCP)
- Dataproc
- Data Composer
- BigQuery
- BigLake
- Apache Iceberg
- Starburst
- dbt
- PySpark
- SQL
- ETL/ELT
- Kafka
- APIs
- SFTP
Preferred Qualifications
- Experience with healthcare interoperability standards: 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
Primary Skills
- GCP
- BigQuery
- BigLake
- Dataproc
- Data Composer
- Apache Iceberg
- Starburst
- dbt
- PySpark
- Kafka
- APIs
- SFTP
- SQL
- ETL/ELT
- Data Modeling
- Healthcare Data
- Data Engineering
Good-to-Have Skills
- FHIR
- HL7
- EDI
- Healthcare Interoperability
- Cloud Monitoring
- Observability
- Automated Data Quality
- Lakehouse Architecture
- Distributed Data Processing
- GCP Certifications
- Agile/Scrum
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