Healthcare Data Engineer – Real-Time & Cloud Platforms

Themesoft Inc.; Nashville (TN); On-site; USD 150,000 - 210,000; Full time

Job summary

Themesoft Inc in Nashville is seeking a Consulting Data Engineer to architect and optimize real-time healthcare data platforms and event-driven architectures. You will champion modern data engineering practices, design scalable cloud-native pipelines, and mentor engineers to securely access, stream, and query compliant data at scale.

You will bridge EHR data with data scientists, software engineers, and clinical analysts to improve patient outcomes and operational efficiency through

Qualifications

• 13+ years in data engineering, data architecture, or distributed systems.
• 4+ years in healthcare data domains (payer/provider/health tech).
• Google Cloud Certified Professional Data Engineer or equivalent GCP architecture expertise.
• Strong streaming, real-time data processing and EHR data integration experience.

Responsibilities

• Architect and monitor high-throughput streaming pipelines for healthcare data.
• Scale Google Cloud infrastructure with IaC and secure data practices.
• Enforce HIPAA/HITRUST/SOC2 with PHI/PII masking and RBAC.
• Build self-service streaming data ecosystems and schemas catalogs.
• Lead reviews, CI/CD automation, and code quality through best practices.
• Mentor engineers and collaborate with Architects and AI/ML teams.

Skills

Real-time streaming

Cloud architecture

Data engineering

Healthcare domain knowledge

EHR integration

Tools

Apache Kafka

Google Cloud Pub/Sub

Apache Flink

Dataflow (Beam)

BigQuery

Terraform

Airflow

dbt

Job description

Location: Nashville, TN ( Onsite from day 1 )

Duration: 6+ Months

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.

In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency.

Core Responsibilities

• Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages).
• Scale Google Cloud Infrastructure: 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 & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit.
• Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries.
• Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows.
• Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting.
• Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers.

Required Qualifications

Experience & Education

• 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles.
• 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech).
• Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP).

True Streaming Focus

• Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing.
• Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations.

Healthcare-Specific Tech Stack

• Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams.
• GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores).
• EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech).
• Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow).
• Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam).
• Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake).
• DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform.

Work Authorization

Applicants must be legally authorized to work in the United States.

Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.