Job VC
Data / BI Engineer (PT, 80h)
Technologies
Description
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.
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.