Data / BI Engineer (PT, 80h)

POSITION OVERVIEW

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.

RESPONSIBILITIES

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.

REQUIRED SKILLS & EXPERIENCE

• 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.

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).

WORK ENVIRONMENT & COLLABORATION

• 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.