Data Engineer (DevOps / DataOps / Delivery Engineering) — Sr. Associate
- Compensation
- Not disclosed
- Location
- Chicago - 550 Van Buren
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- U.S. work authorization is required.
Nice to have
- Experience with Snowflake or other modern cloud data warehouse platforms — the team is migrating its data lake and core tables to Snowflake as its next major infrastructure initiative.
Full description
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.
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Join the Clinical Insights team as a key part of our engineering organization — a Data Engineer who helps keep clinical data pipelines and client-facing applications running reliably across 10+ client environments every single day. This role supports the full lifecycle of client data infrastructure and application delivery: SFTP ingestion, AWS data lake operations, application environment setup and deployment support, and pipeline monitoring and incident response, working closely with the team's DataOps lead. You'll sit at the intersection of DataOps, DevOps, and delivery engineering — comfortable helping configure a new client environment ahead of go-live, triaging a failed Jenkins run before standup, and confirming yesterday's data loads actually landed.
This is not a business intelligence or analytics role. You'll build and operate the infrastructure that the entire product and client delivery organization depends on.
This role reports to the team's DataOps lead and works under their technical direction on environment provisioning, infrastructure changes, and architectural decisions.
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Role Summary
In this role, you will:
- Support daily operation and monitoring of data pipelines across 10+ concurrent client environments, triaging failures (no-data, bad-data, and processing errors) and escalating complex issues to the DataOps lead before they affect client-facing reporting.
- Set up, configure, and support deployment of client-facing applications — from environment setup through go-live stabilization and ongoing support.