ConvergeHEALTH - Data Operations Engineer, Expert Services-Innovation_Delivery_Transformation

As a Data Operations Engineer on Converge for Healthcare's Expert Services team, you will play a hands-on technical role connecting client source data to the foundational data models powering Deloitte's Data Studio platform - a growing portfolio of healthcare provider analytics products including Revenue Intellect™, Care Intellect™, SMarT Rapid Analytics, and Supply Chain Intellect™.

In this role, you will work at the intersection of data engineering, cloud platform operations, and applied AI - designing and operating the cloud-native data pipelines that turn messy, real-world healthcare data into reliable, decision-ready analytics.

You will work across both subscription-based product delivery and Deloitte Consulting engagements where Data Studio is embedded as a core enabler, partnering primarily with engineering, data, and product teams, and occasionally engaging directly with client data teams to resolve integration challenges.

This position is well suited for engineers who enjoy building durable data systems, working through ambiguity in real-world data, and applying emerging AI tooling to push the ceiling on what a small team can deliver - within a rapidly evolving healthcare analytics product ecosystem.

Recruiting for this role ends on 08/01/2026.

Work you'll do

As a Data Operations Engineer on Converge for Healthcare's Expert Services team, you will be responsible for:


* Data integration & pipeline engineering.

Design, build, and optimize cloud-native ETL/ELT pipelines that ingest client source data and conform it to the Data Studio platform's foundational data model - making real-world healthcare data ready to power production analytics.


* Data validation, profiling & quality.

Profile, validate, and QA large, complex healthcare datasets for accuracy, completeness, and conformance to platform standards; combine traditional debugging with LLM-enabled data exploration and ML-based anomaly detection to find and resolve issues faster than manual approaches allow, partnering with client and Deloitte teams as needed when integration issues require it.


* Analytics & insight enablement.

Develop the analytics layer of the Data Studio platform - including BI dashboards, self-service reporting, and ML Lab workflows - putting validated, production-ready data in the hands of consulting teams and clients.


* Automation & orchestration.

Implement and maintain workflow automation, monitoring, and alerting using event-driven architectures and orchestration tools, with the goal of building systems that run reliably without constant intervention.


* Product collaboration & solution evolution.

Act as a hands-on technical voice into the Data Studio platform's evolution - translating real-world delivery learnings into concrete product, data model, and platform enhancement opportunities, and partnering with product and engineering teams to validate and pressure-test new capabilities before they ship.

A strong successful cand...