Data Platform Engineer; 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. We are looking for a Platform Integration Engineer to join our engineering team and take on one of our most strategically important challenges: unifying a diverse ecosystem of analytics applications under a coherent, scalable technology platform. Our analytics landscape has grown organically across multiple teams and products. The result is a collection of powerful but siloed tools — each with its own technology stack, data contracts, and deployment patterns.

You will be the connective tissue that brings these applications together, making pragmatic decisions about when to consolidate and when to preserve the right tool for the right job. This role is for an engineer who is energized by ambiguity, skilled at reading distributed systems, and opinionated (but flexible) about platform design. You will work directly with engineering leads and data teams, and you will be empowered to use AI‑assisted development tools as a first‑class part of your workflow.

• 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. consolidate vs. federate tradeoffs for components across the platform, documenting your rationale and driving alignment
• Build and maintain shared platform services — authentication, observability, configuration management, logging — that reduce duplication across applications

• 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; identify unification opportunities but defer to domain expertise on data semantics and processing logic

• 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…