Job Title
Data Engineer
Pay
$100,000 - $120,000 per year
Location
Hybrid – 5 Company Locations
Summary
We are seeking a highly skilled Data Engineer to join a private-equity-backed company dedicated to innovative financial and operational data solutions. This role involves designing, implementing, and managing enterprise data warehouses with a focus on Oracle Database environments and Microsoft Fabric integrations. The successful candidate will support financial operations through advanced reporting, Power BI dashboards, and data modeling tailored to construction and project-focused industries such as commercial construction, with experience in % of completion, job costing, and cost accounting. This position offers a unique opportunity to work across multiple locations with a collaborative team, contributing to strategic decision-making and organizational growth.
Requirements
Proven experience working with Oracle Database environments in data warehousing or enterprise data architecture roles
Proficiency with Microsoft Fabric and its data processing and analytics capabilities
Domain knowledge in financial and construction-related data, including % of completion, contractor management, job costing, and cost accounting
Strong skills in Power BI report/dashboard development and translating complex data into visual insights
Expertise in ETL/ELT processes, data modeling, and warehousing best practices
Familiarity with Azure Data Warehouse platforms and SQL as a Service
Experience in implementing data governance, security, and compliance standards
Excellent problem-solving and stakeholder communication skills
Responsibilities
Design, develop, and maintain scalable data warehouse solutions leveraging Oracle and Microsoft Fabric
Lead the development of ETL/ELT workflows for financial and project data, ensuring accuracy and integrity
Build and optimize Power BI dashboards to support strategic financial and operational decisions
Collaborate with finance, operations, and IT teams to gather requirements and translate into technical solutions
Establish best practices for data governance, security, and compliance, especially around financial data
Manage data quality initiatives, metadata documentation, and process enhancements
Mentor and lead a team of data engineers and analysts, fostering a collaborative environment
Partner with external consultants initially, then assume full ownership of the data systems at project completion
Monitor system performance, optimize database performance, and ensure SLAs are met
Benefits
Competitive benefits package with PE-backed growth opportunities
Potential for career advancement in a rapidly expanding organization
Access to cutting-edge data technologies and frameworks
Collaborative, dynamic work environment with multiple company locations