Data / BI Engineer (PT)

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.