Data and AI Engineer

Sellen Construction•Seattle, WA

1d•Onsite

About The Position

Sellen Construction is hiring a Data and AI Engineer to automate manual work across the business and build trusted, well-governed data and AI solutions. The role gathers requirements from business stakeholders and reports to the Director of Data Platforms. It is based full-time in South Lake Union, Seattle. Approximately 40% of the role focuses on building AI agents and automated workflows, primarily with Microsoft tools such as Copilot Studio, Power Automate, and Azure AI Foundry. Example use cases include document intake and routing, RFI and submittal triage, and meeting summaries. Another 40% focuses on data engineering, including building pipelines from Vista, Procore, UKG, and SharePoint and maintaining the analytics layer and semantic models in Microsoft Fabric. Remaining work includes data quality and governance, CUI/CMMC boundaries, and supporting the Data Analyst with certified datasets. The role calls for technical expertise in data engineering, integrations, and automation, alongside sound engineering judgment, production ownership, responsible AI practices, and the ability to translate business needs into maintainable solutions. Sellen describes itself as a local, employee-owned company in the Pacific Northwest and emphasizes safety, stability, mental health, collaboration, community support, equitable pay, and diversity and inclusion.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent experience.
Either 5+ years of relevant experience in data engineering, software development, or systems integration, or 3+ years of experience directly building and maintaining data pipelines, integrations, or automation solutions.
Experience designing and building ETL/ELT pipelines and data integrations.
SQL and Python, or a similar language, for data transformation and automation.
Experience integrating enterprise systems through REST APIs.
Experience with cloud data platforms such as Microsoft Fabric, Azure Data Factory, Azure SQL, or Synapse.
Knowledge of data modeling, data quality, and governance practices.
Experience building AI-enabled automations or agents using LLM platforms, Power Automate, or similar tools.
Version control (Git) and deployment practices for production systems.
Working knowledge of SQL and DAX, including semantic models and star schemas.
Knowledge of data governance concepts, including data ownership, data quality, metadata, and data classification.
Knowledge of Agile development frameworks.
Ability to plan and deliver projects, troubleshoot root causes, and design maintainable, monitored, and secure data pipelines and AI workflows.
Ability to communicate effectively with diverse groups, influence others, analyze complex information, and collaborate across functions.

Nice To Haves

Exposure to the requirements, processes, and functions of general contracting.
Experience integrating Procore, Viewpoint Vista, UKG, or similar ERP or project management platforms.
Microsoft Fabric and Power BI Service experience.
Strong working knowledge of construction operations and commercial construction project contexts.
Knowledge of information used in preconstruction and construction operations for day-to-day decisions and the creation of schedules, estimates, and budgets.
Practical use of AI tools for analysis and awareness of their limitations.
One or more of the following certifications, or equivalent: 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).

Responsibilities

Gather requirements from business stakeholders and translate loosely defined needs into working solutions.
Build AI agents and automated workflows, primarily using Copilot Studio, Power Automate, and Azure AI Foundry.
Automate business workflows such as document intake and routing, RFI and submittal triage, and meeting summaries.
Build and maintain data pipelines and integrations from Vista, Procore, UKG, and SharePoint.
Maintain Sellen’s analytics layer and semantic models in Microsoft Fabric.
Support data quality and governance, including CUI/CMMC boundaries and sensitive project data.
Support the Data Analyst with certified datasets.
Plan and deliver pipeline, integration, and agent projects in milestones, shipping working pieces in stages and managing competing priorities.
Monitor production pipelines and automations, troubleshoot issues, and own fixes and ongoing reliability.
Document solutions through runbooks, data definitions, and architecture notes.
Collaborate with non-technical stakeholders and the Data Analyst to identify problems and deliver data-driven solutions.