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