<p>We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.</p><p>• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.</p><p>• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.</p><p>• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.</p><p>• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.</p><p>• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.</p><p>• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.</p><p>• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.</p><p>• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.</p>
<p>We are looking for a Data Engineer to help shape and strengthen the organization’s data warehouse and analytics capabilities. This role will focus on building reliable data solutions that support reporting, business intelligence, and operational decision-making across the company. The ideal candidate brings strong technical depth in data engineering, enjoys solving complex integration challenges, and works effectively with both IT colleagues and business stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Design and enhance scalable data warehouse structures and integration pipelines that support analytics, reporting, and cross-system data flow.</p><p>• Develop, test, and maintain ETL processes that move data from varied source systems into staging, warehouse, and downstream reporting environments.</p><p>• Partner with business teams and technical peers to translate functional needs into practical data solutions and system designs.</p><p>• Improve database performance by tuning SQL, refining indexing strategies, and addressing issues identified through execution plan analysis.</p><p>• Create and support dashboards, reports, and data visualizations using tools such as Power BI, Tableau, and similar business intelligence platforms.</p><p>• Perform data validation, auditing, and quality checks to protect accuracy, consistency, and compliance across critical datasets.</p><p>• Provide production support for data platforms, integrations, and reporting solutions, resolving issues and maintaining dependable system performance.</p><p>• Contribute to agile delivery efforts by participating in development, testing, and quality assurance activities across databases, middleware, and analytics applications</p>
<p>We are looking for a Senior Reliability Engineer to strengthen the stability, scalability, and performance of technology systems that support construction and field operations. This position plays a key role in building dependable infrastructure across remote job sites, field offices, and cloud environments so teams can work efficiently with minimal disruption. The ideal candidate brings a strong SRE mindset, combines technical depth with practical problem-solving, and partners effectively with operational teams to maintain business continuity and system resilience.</p><p><br></p><p>Responsibilities:</p><p>• Build and enhance highly available infrastructure that supports office locations, remote field environments, networking needs, cloud services, and edge-based systems.</p><p>• Direct incident response efforts for service disruptions, coordinate restoration activities, and lead root cause investigations to prevent repeat issues.</p><p>• Create and maintain monitoring, alerting, and observability capabilities that improve visibility into system health, uptime, and application performance.</p><p>• Work closely with construction, engineering, and field personnel to ensure technology reliability aligns with project schedules, operational demands, and safety expectations.</p><p>• Implement automated infrastructure deployment and recovery processes using Infrastructure as Code and configuration management tools such as Terraform and Ansible.</p><p>• Establish service reliability targets, manage service level objectives, and use error budgets to guide operational decisions and continuous improvement.</p><p>• Strengthen the security posture of remote and field-deployed systems by improving hardening practices and secure access methods.</p><p>• Provide guidance to less experienced engineers and help foster a culture centered on reliability, accountability, and operational excellence.</p><p>• Identify process improvements that reduce inefficiencies, simplify support efforts, and improve overall service delivery.</p><p><br></p>
We are looking for an experienced Lead Artificial Intelligence (AI) Engineer to guide the design and delivery of advanced AI solutions for a growing construction-focused organization in Avon, Minnesota. This role will lead the creation of scalable applications that turn complex project and operational data into practical, production-ready tools. The ideal candidate brings strong technical leadership, deep hands-on engineering expertise, and a track record of building reliable AI systems that integrate with enterprise platforms.<br><br>Responsibilities:<br>• Lead the technical direction, architecture, and full lifecycle delivery of a core software platform from early concept through production deployment and ongoing improvement.<br>• Design and develop production-grade AI applications, including retrieval-based solutions, agent-driven workflows, tool orchestration, and review processes that incorporate human oversight.<br>• Create robust evaluation frameworks and context management approaches to improve model quality, system reliability, and business relevance.<br>• Connect AI capabilities with enterprise platforms such as Procore, Salesforce, Bluebeam, financial systems, and the organization’s Microsoft Fabric data environment.<br>• Define and enforce engineering best practices across the AI team, including codebase organization, testing strategy, release management, and operational readiness.<br>• Establish observability standards and monitor usage patterns, performance trends, and solution costs to support stable and efficient production systems.<br>• Partner with cross-functional stakeholders to translate construction and project data into practical AI-enabled workflows and decision-support tools.<br>• Ensure security and governance considerations are embedded throughout solution design, deployment, and ongoing maintenance.