Healthcare Data Integration Lead - Partner Integrations & Data Quality

Decca Consulting LLC

Santa Clara (CA)

On-site

USD 150,000 - 210,000

Full time

4 days ago

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Job summary

Decca Consulting LLC is seeking a Healthcare Data Integration Lead to own the end-to-end lifecycle of external healthcare data integrations with TPAs, provider networks, and other partners. You will define data contracts, translate partner data into a canonical model, and ensure timely, accurate delivery to engineering, operations, analytics, and ML teams.

The role blends software engineering, data integration, and partner collaboration with a growth path toward leading the Data Integration

Qualifications

Bachelor's degree required in CS/Engineering or related field.
5–7+ years of experience in healthcare integration engineering or related roles.
Experience designing, implementing, and operating partner integrations using file-based and API-based data exchanges.
Strong experience with data ingestion, transformation (ETL/ELT), canonical data modeling, and validation frameworks.
Experience operating production data pipelines with focus on reliability, observability, and troubleshooting.
Experience defining integration contracts with external partners and collaborating with them.
Strong SQL and AWS experience (S3, Lambda, SQS, EventBridge, Glue).

Responsibilities

Own technical integrations with TPAs, provider networks, and other external healthcare partners.
Own ingestion, lifecycle, and governance of provider, network, and reference data across the platform.
Define, maintain, and version partner integration specifications including file layouts, APIs, schemas, and data contracts.
Lead onboarding of new partners and manage changes to existing integrations with minimal downstream impact.
Collaborate with partner technical teams to troubleshoot and resolve production data exchange issues.
Ensure reliable, secure, and timely delivery of healthcare data across all integrations.
Design and maintain mappings from partner formats into canonical data model.
Define reusable integration patterns for file-based, API-based, and event-driven exchanges.
Build and enhance ingestion services supporting validation, transformation, reconciliation, and processing workflows.
Maintain backward compatibility as formats evolve.
Collaborate with Engineering to ensure consistent data for internal consumers.
Operate and support production ingestion pipelines; monitor health and data quality.