Data Operations Engineer

Huron

Data Operations Engineer Associate managing Power BI datasets for healthcare organizations. Designing data models and ensuring data quality to optimize analytics and reporting processes.

Posted 6/7/2026full-timeRemote • Illinois • 🇺🇸 United StatesJuniorMid-Level💰 $100,000 - $145,000 per yearWebsite

Tech Stack

Tools & technologies

AzureSQL

About the role

Key responsibilities & impact

Design, build, and maintain Power BI datasets, semantic models, and reports used across multiple client engagements
Develop and optimize data models and DAX calculations to support scalable, high‑performance analytics and dashboards
Prepare, transform, and shape data for analytics using SQL, Power BI (Power Query), and Azure‑based data sources
Coordinate and support Power BI dataset refreshes, troubleshoot failures, and resolve performance or data issues
Perform data quality assurance to validate accuracy, completeness, and reasonableness of data prior to analytics and reporting use
Review incoming client data and develop mapping logic and documentation to support analytics‑ready SQL tables and Power BI datasets
Collaborate closely with stakeholders to translate reporting and business requirements into clear, consumable Power BI dashboards
Support Azure‑based data environments that feed Power BI solutions, including SQL databases, Azure Data Factory pipelines, and SFTP integrations
Enable secure client data ingestion by supporting SFTP access, file transfers, and troubleshooting connectivity and ingestion issues
Work with healthcare data containing PHI, ensuring compliance with security, privacy, and data governance standards throughout the analytics lifecycle
Collaborate with internal team members and consultants to resolve data and reporting issues, prioritize requests, and support multiple concurrent client engagements

Requirements

What you’ll need

Bachelors in Computer Science, Information Systems, Analytics, or equivalent applicable experience
Minimum of 2 years of hands‑on experience with Power BI
expert level knowledge of Semantic Models, Parameters, Pipeline deployments, Incremental refresh policies, Measures, Workspace configuration and credentials
Strong experience with SQL and relational databases for analytics and reporting purposes
Experience designing and supporting analytics‑ready data models
Familiarity with Azure‑based data environments (e.g., Azure SQL, Data Factory)
Experience working with multiple data formats (837/835 preferred)
Strong attention to detail, data quality, and documentation
Ability to manage multiple priorities in a fast‑paced, multi‑client environment
U.S. work authorization required

Benefits

Comp & perks

medical, dental and vision coverage
wellness programs
401(k) plan with a generous employer match
employee stock purchase plan
generous Paid Time Off policy
paid parental leave and adoption assistance
free annual health screenings and coaching
on-site workshops

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Power BIDAXSQLdata modelingdata transformationdata quality assuranceanalyticsAzure Data FactorySFTPdata mapping

Soft Skills

attention to detaildocumentationmulti-taskingcollaborationproblem-solvingcommunicationstakeholder managementprioritization