Senior Data Engineer

Ambry Genetics

. Build pipelines that fetch, parse, and serve structured and unstructured clinical EHR, genomics, and cardiovascular imaging data .

Posted 10/15/2026full-timeUnited StatesSenior💰 $125,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

AWSBigQueryCloudKubernetesPythonSQLTerraformTypeScriptVault

About the role

Key responsibilities & impact

Build pipelines that fetch, parse, and serve structured and unstructured clinical EHR, genomics, and cardiovascular imaging data
Build and maintain dbt models on BigQuery, including tests, documentation, and SQL standards
Design normalized and dimensional models for multi-modal patient records
Build and operate Pub/Sub topics, subscriptions, dead-letter handling, retries, and idempotency
Develop data access patterns and metadata layers for AI-agent discovery, querying, and reasoning
Build retrieval services and TypeScript services and APIs for agent input, output, and coordination
Extend and operate Google Cloud infrastructure in Terraform, including BigQuery, Pub/Sub, Cloud SQL, Cloud Storage, Memorystore, Secret Manager, service accounts, and IAM
Build for multi-tenancy, high availability, and performance across hybrid on-premises and cloud hospital networks
Implement automated data-quality and lineage monitoring with traceability to source systems
Build observability, error tracking, and human-in-the-loop checkpoints
Partner with clinical, analytics, and platform engineering teams on data modeling, governance, and data integrity in a HIPAA-regulated environment
Own production systems, investigate root causes, identify priorities, and ship incremental improvements

Requirements

What you’ll need

Bachelor's degree in Computer Science, Software Engineering, Data Science, Health Informatics, or a related technical field
Equivalent professional experience, including significant open-source contributions or industry-recognized technical writing, will be considered
5+ years building data-intensive software systems in production
3+ years focused on data engineering, pipeline ownership, or data modeling
2+ years hands-on building and operating on Google Cloud
2+ years in HIPAA-regulated environments with EMR integrations and healthcare data standards
1+ years hands-on building with Large Language Models, agentic workflows, RAG, or autonomous tool use
Experience managing structured and unstructured data at a scale of millions of records
Proven production data pipeline experience with structured and unstructured data
Hands-on Google Cloud experience with BigQuery, Pub/Sub, Cloud Storage, Cloud SQL, Secret Manager, IAM, and service accounts
Strong SQL and practical dbt or equivalent transformation framework experience
Terraform and container experience
Production-quality application and service code, including APIs and tests
Production Python and enough TypeScript or another statically typed language for service and application code
Experience with event-driven or queue-based architectures, retries, ordering, idempotency, and dead-letter handling
Working knowledge of HL7, FHIR, Epic/Cerner data structures, DICOM, and genomic data formats
Familiarity with HIPAA and SOC 2
Preferred: Master's degree or Ph.D. in Computer Science or Biomedical Informatics
Bonus: Google Cloud Healthcare API, OMOP, Kubernetes, vector or graph databases, AWS, Data Vault 2.0, or Master Data Management

Benefits

Comp & perks

Incentive compensation may be offered
Restricted stock units may be offered
Medical and other benefits depending on the position
Equal opportunity employer