Data and AI Engineer

Sellen Construction is hiring a Data and AI Engineer to automate business workflows and build trusted, well-governed data solutions. The role develops AI agents and automated workflows, engineers data pipelines and analytics models, and supports data quality, governance, and certified datasets.

Responsibilities

• Sellen Construction is looking for a Data and AI Engineer to help automate manual work across the business
• Reporting to the Director of Data Platforms, this person will gather requirements from business stakeholders and build trusted, well-governed solutions
• About 40% of the role is building AI agents and automated workflows, mainly in the Microsoft stack (Copilot Studio, Power Automate, Azure AI Foundry)
• Examples include document intake and routing, RFI and submittal triage, and meeting summaries
• Another 40% is data engineering: building pipelines out of Vista, Procore, UKG and SharePoint, and maintaining Sellen’s analytics layer and semantic models in Microsoft Fabric
• The remaining time goes to data quality and governance, including CUI/CMMC boundaries, and to supporting the Data Analyst with certified datasets

Preferred

• 5+ years of relevant work experience in data engineering, software development, or systems integration, with exposure to the requirements, processes, and functions of general contracting preferred
• One or more of the following, or equivalent (preferred):
• Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Azure Data Fundamentals (DP-900)
• Microsoft Certified: AI Business Professional (AB-730)
• Strong working knowledge of construction operations practices, processes, and commercial construction project context (preferred)
• Strong working knowledge of the information required by preconstruction and construction operations in day-to-day decision-making and in the creation of schedules, estimates, and budgets (preferred)
• Microsoft Fabric and Power BI Service (preferred)
• Practical use of AI tools for analysis, and awareness of their limits (preferred)
• 5+ years of relevant work experience in data engineering, software development, or systems integration, with exposure to the requirements, processes, and functions of general contracting preferred.
• Data Engineering
• Software Development
• Systems Integration
• General Contracting
• Construction Operations
• Construction Project Context
• Preconstruction Operations
• Construction Decision Support
• Construction Scheduling
• Construction Estimating
• Construction Budgeting
• Microsoft Certified Power BI Data Analyst Associate (PL-300)
• Microsoft Certified Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified Azure Data Fundamentals (DP-900)
• Microsoft Certified AI Business Professional (AB-730)
• Power BI Service
• AI Tools for Analysis
• AI Limitations Awareness

Benefits

• The bonus target for this role is 5% of annual base earnings.
• 401(k) with up to 9.5% employer contribution
• Health insurance
• Health savings contributions
• Tuition benefits

Company

• Pacific Northwest commercial general contractor and construction manager
• Seattle, Washington, USA
• http://sellen.com/
• Founded in 1944
• 501-1000 employees

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent experience
• 3+ years of experience with direct responsibility for building and maintaining data pipelines, integrations, or automation solutions, including:
• Designing and building ETL/ELT pipelines and data integrations
• SQL and Python (or a similar language) for data transformation and automation
• Integrating enterprise systems through REST APIs (Procore, Viewpoint Vista, UKG, or similar ERP/project management platforms preferred)
• Cloud data platforms such as Microsoft Fabric, Azure Data Factory, Azure SQL, or Synapse
• Data modeling, data quality, and governance practices
• Building AI-enabled automations or agents using LLM platforms, Power Automate, or similar tools
• Version control (Git) and deployment practices for production systems
• SQL and DAX, including working with semantic models and star schemas
• Data governance concepts, including data ownership, data quality, metadata, and data classification
• Agile development framework
• Process improvement through automation: Finds manual, repetitive workflows across operations, preconstruction, and the field, and replaces them with reliable automated solutions
• Project planning and delivery: Breaks pipeline, integration, and agent projects into milestones, ships working pieces in stages, and manages priorities across competing requests
• Engineering judgment: Designs data pipelines and AI workflows that are maintainable, monitored, and secure. Decides when to build, when to buy, and when not to automate
• Problem solving: Troubleshoots data quality issues, failed integrations, and unexpected model or agent behavior by finding the root cause instead of applying patches
• Ownership and reliability: Treats production pipelines and automations as services. Owns them end to end, from monitoring and alerting through fixes
• Responsible AI and data governance: Builds with security, access controls, and compliance in mind, including handling CUI and sensitive project data appropriately
• Technical documentation: Writes clear runbooks, data definitions, and architecture notes so others can support and extend the work
• Requirements and collaboration: Turns loosely defined business needs from non-technical stakeholders into working solutions, and partners closely with the data analyst, who uses the data this role produces
• Demonstrate critical and holistic thinking
• Ability to communicate comfortably and effectively with new and diverse groups of people
• Ability to influence others and lead change
• Ability to critically analyze complex and varied information to make recommendations
• Ability to leverage technology to facilitate communication and collaboration
• Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights
• 5+ years of relevant work experience in data engineering, software development, or systems integration, with exposure to the requirements, processes, and functions of general contracting preferred
• One or more of the following, or equivalent (preferred):
• Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Azure Data Fundamentals (DP-900)
• Microsoft Certified: AI Business Professional (AB-730)
• Strong working knowledge of construction operations practices, processes, and commercial construction project context (preferred)
• Strong working knowledge of the information required by preconstruction and construction operations in day-to-day decision-making and in the creation of schedules, estimates, and budgets (preferred)
• Microsoft Fabric and Power BI Service (preferred)
• Practical use of AI tools for analysis, and awareness of their limits (preferred)

Required skills

• AI Agent Development, Azure Data Factory, Azure SQL, Azure Synapse, Data Governance, Data Modeling, ETL/ELT Pipelines, Microsoft Fabric, Power Automate, Project Planning and Delivery, Python, REST APIs, SQL

Preferred skills

• Microsoft Certified: AI Business Professional (AB-730), Microsoft Certified: Azure Data Fundamentals (DP-900), Microsoft Fabric and Power BI Service (preferred), One or more of the following, or equivalent (preferred):

Experience

• 3+ years