Data Platform Integration Engineer Senior Associate

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes. Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients. Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise. Join our team as the expert you are now and create your future.

WhatYou’llDo

Platform Unification & Integration

Audit existing analytics applications to understand their underlying technology choices, data flows, and integration points

Design and implement integration patterns (APIs, event streams, shared data contracts) that allow siloed applications to interoperate without unnecessary rewrites

Evaluate build vs.consolidatevs. federate tradeoffs for components across the platform, documenting your rationale and driving alignment

Build andmaintainshared platform services — authentication, observability, configuration management, logging — that reduce duplication across applications

Data Pipeline & ETL Engineering

Develop a deep understanding of existing data pipelines owned by distributed teams — including their data sources, transformation logic, and dependencies

Design and build a unified presentation layer that surfaces data from heterogeneous compute environments — including large-scale distributed systems (e.g., Spark) and traditional relational databases — in a consistent, accessible way

Partner with domain teams who have the deepest knowledge of their own data — acting as an integration architect and collaborator rather than a centralized pipeline owner;identifyunification opportunities but defer to domainexpertiseon data semantics and processing logic

Cloud Infrastructure

Deploy and manage platform services on cloud infrastructure (AWS preferred; Azure/GCP experience a plus)

Contribute to infrastructure-as-code practices using tools such as Terraform, CDK, orPulumi

Collaborate with DevOps/SRE to define depl