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
