Job Description
Job Title: Data Engineer - GCP, HL7, HIN Transaction
Work Site: Nashville, Tennessee
Work Model: Hybrid - 3 Days Onsite (No Remote)
Duration: 6 Months + Future Extensions
Job Summary:
As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. You will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers while enabling data scientists, software engineers, and clinical analysts to securely access compliant data at scale to improve patient outcomes and operational efficiency.
Job Responsibilities
Responsibilities:
- Architect, implement, and monitor high-throughput, fault-tolerant streaming pipelines for millions of healthcare data events including live telemetry, HL7 feeds, and ADT messages.
- Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC).
- Enforce healthcare compliance and security protocols including HIPAA, HITRUST, SOC2 by building lakehouse architectures with PHI/PII masking, RBAC, and encryption at rest and in transit.
- Build streaming data ecosystems that support healthcare interoperability and manage real-time data catalogs and schema registries.
- Write modular, reusable, performance-tested code, lead code reviews, and establish standardized CI/CD automated deployment workflows.
- Set and champion SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive monitoring and alerting.
- Collaborate with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints and mentor mid-level engineers.
Numbers & Facts
| Location | TN |
| Job Type | Contractor |
| Company Size | 201 - 500 |
| Headquarters | Livonia, MI, US |
| Website | https://plugins-inc.com/ |
Qualifications
Required Qualifications and Skills:
- 13+ years of experience in data engineering, data architecture, or distributed systems software engineering.
- 4+ years of experience in healthcare domain - payer, provider, digital health, or health tech.
- Google Cloud Certified Professional Data Engineer or equivalent expert-level GCP architecture experience.
- Advanced Event-Driven Architecture: Mastery of Apache Kafka and Google Cloud Pub/Sub.
- Stream Processing: Hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) including CEP, windowing, and streaming transformations.
- Interoperability Standards: Deep expertise in FHIR JSON, HL7 v2/v3 messaging, and DICOM imaging streams.
- GCP Healthcare Tools: Hands-on experience with Google Cloud Healthcare API - FHIR stores and HL7v2 stores.
- EHR Integration: Experience with Epic, Cerner, or Meditech.
- HIN Transaction experience is mandatory.
- Google Cloud Ecosystem: BigQuery including partitioning, clustering, streaming inserts, Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow).
- Programming Languages: Proficiency in Python, Scala, or Java for distributed computing platforms like Spark or Beam.
- Modern Data Stack: Mastery of dbt, dimensional data modeling, and lakehouse architectures - Iceberg, Delta Lake.
- DevOps & Automation: Experience building CI/CD pipelines using GitHub Actions, GitLab CI and managing infrastructure using Terraform.
Skills
Level up your application
Professional resume templates
Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.
Free resume templatesResume Builder
Improve your existing resume or start from scratch and create a standout, ATS-friendly resume. Add job-specific content, download and apply.
Resume Builder