Data Engineer

As our Data Engineer, you will take ownership of designing, building, and maintaining the data infrastructure that powers business insights and operational reporting. You’ll develop robust data pipelines, integrate information from multiple systems, and ensure data is accurate, accessible, and well-structured to support analytics and decision-making. Your work will reflect the unique needs of the construction industry—supporting job cost tracking, schedule performance, workforce data, and subcontractor activity. To be successful in this role, you should be a clear communicator, resourceful problem-solver, and skilled at bridging the gap between data and construction operations.

• Data Architecture & Infrastructure: Design and manage the technology stack used for data storage and processing, including databases, pipelines, data warehouses, data lakes, and APIs, to support scalable and efficient data operations.
• Data Modeling & Documentation: Create and maintain data models, flow diagrams, mappings, and dictionaries to support clear, consistent, and accessible data structures across the organization.
• Data Quality & Governance: Ensure data accuracy, integrity, and availability by identifying and resolving quality issues, collaborating with security teams, and recommending improvements to enhance governance and compliance.
• Business Intelligence & Reporting: Translate business needs into actionable data solutions by designing dashboards, reports, and downstream data feeds that drive informed decision-making.
• Data Integration & Interoperability: Support seamless data movement and transformation across systems by enabling integration between applications and ensuring interoperability within data warehouse and analytics environments.

• Prior experience in data engineering, including system integrations, API development, data management, and Microsoft SQL Server.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
• Relevant certifications such as MTA: SQL Server, MCSA: Database Development, Database Administration, or Business Intelligence Development.

• Ability to lift up to 25 pounds unassisted.
• Ability to sit for extended periods, with occasional walking and standing as needed.
• Must be able to operate standard office equipment (e.g., computers, printers, copiers).
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.

• Corporate office environment with a business casual dress code; occasional business professional attire may be required.
• Occasional visits to jobsites, requiring proper use of Personal Protective Equipment (PPE) and exposure to outdoor elements and typical construction site conditions.
• Standard work hours are Monday–Friday, 8:00 AM to 5:00 PM.

SpawGlass is an Equal Opportunity Employer.