Who you are

• Data Engineering: Experience with data pipelines, ETL processes, and data warehouse maintenance
• BI/Analytics Tools: Proficiency with Microsoft Fabric and Power BI
• Database Management: Strong SQL skills for querying, debugging, and data investigation
• Cloud Platforms: Experience with Azure stack (preferred) or other cloud platforms (AWS, GCP)
• Data Integration: Experience with external data sources and API integrations
• Healthcare Domain Knowledge: Experience with healthcare systems and EHR platforms is a plus

What the job involves

• Our US customer is seeking a skilled Data Engineer / BI Engineer to maintain and develop their data warehouse and reporting infrastructure
• This is primarily a maintenance and support role focused on ensuring the reliability and effectiveness of our data pipelines and business intelligence reporting systems
• Data Engineering (Primary Focus):
• Maintain and debug existing data pipelines that extract data from multiple external platforms
• Monitor and troubleshoot data pipeline issues to ensure data accuracy and timely delivery
• Update and manage database views and filters as business requirements evolve
• Investigate data quality issues and perform SQL queries to diagnose problems
• Support data integration from multiple sources into the Care House data warehouse
• Business Intelligence & Reporting:
• Develop and maintain BI reports in Microsoft Fabric on the Azure stack
• Create new reports and dashboards as needed
• Update and modify existing Power BI reports based on stakeholder feedback
• Ensure reports accurately reflect underlying data structures and business logic
• Collaborate with stakeholders to understand reporting requirements
• Maintenance & Support:
• Respond to ad-hoc queries and requests from the Lead and her team
• Provide ongoing technical support for existing systems and processes
• Document issues, resolutions, and system changes
• Participate in check-in meetings with leadership
• Data Sources:
• Electronic Health Record systems (e.g., ChartMeds, Credible)
• Finance platforms (e.g., Planful, Dayforce)
• SQL databases and data lakes
• Data Warehouse: Care House (internal data warehouse)
• Part-time: 80 hours per month
• Schedule: Mon – Fri 9-5 (US EST) overlap with team at least 2-3 hours
• Team Structure: Work independently on assigned tasks with support from experienced team members
• Communication: Primarily asynchronous via email and MS Teams