Engineering Manager – Healthcare Data Platforms

6 days ago

Bengaluru, Karnataka, India Zynix AI Full time ₹ 4,69,100 - ₹ 55,07,662 per year

About Zynix AI

Zynix AI is on a mission to transform value-based care using AI and data-driven automation. Our platform integrates with EMRs, HIEs, and payer systems to deliver predictive analytics, risk adjustment, and care management solutions for providers, ACOs, MSOs, and health plans.

Role Overview

We are seeking a Director of Healthcare Data Engineering to own our healthcare data infrastructure. This leader will design, scale, and manage our data pipelines and platforms — powering the AI agents and analytics that drive Zynix AI. The role is ideal for someone who has worked in healthcare data-first companies (Innovaccer, Arcadia, Health Catalyst, Optum, etc.) and understands the nuances of clinical + claims data integration at scale.

Responsibilities

  • Architect and scale healthcare data pipelines (FHIR, HL7, X12, CCLF, ADT, EHR extracts).
  • Lead the data engineering team responsible for ingestion, normalization, and quality of healthcare data.
  • Work closely with AI/ML teams to ensure clean, structured datasets for predictive models and agents.
  • Build a scalable healthcare data lake / warehouse powering analytics and care workflows.
  • Ensure compliance with HIPAA, HITRUST, and other healthcare data standards.
  • Collaborate with EMR vendors, payers, and HIEs to optimize integrations.
  • Establish best practices in healthcare data engineering, observability, and reliability.

Qualifications

  • 7+ years of experience in data engineering, with at least 3 years in healthcare.
  • Prior work at a healthcare data platform company (Innovaccer, Arcadia, Health Catalyst, Optum, etc.) strongly preferred.
  • Strong experience with healthcare data standards: FHIR, HL7, X12, claims, CCLF, ADT, EDI.
  • Proven ability to lead teams building production-grade data platforms.
  • Strong cloud experience (AWS, GCP, or Azure) with data pipelines (Spark, Databricks, Snowflake, Redshift, BigQuery).
  • Familiarity with risk adjustment, value-based care, and quality measures (CQM/HEDIS) is a plus.

Why Zynix AI

  • Join a fast-growing company at the intersection of AI and healthcare.
  • Lead the foundation of a data platform that will power AI-driven value-based care.
  • Competitive compensation, equity, and the opportunity to shape the future of healthcare technology.

Job Type: Full-time

Pay: ₹4,691, ₹5,507,672.64 per year

Benefits:

  • Flexible schedule
  • Health insurance

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