Data Engineer

About Us Clayco is a full-service, turnkey real estate development, master planning, architecture, engineering, and construction firm that safely delivers clients across North America the highest quality solutions on time, on budget, and above and beyond expectations. With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building," providing fast track, efficient solutions for mission critical, industrial, life sciences, power & energy, aviation, commercial, institutional, residential and sports & entertainment related building projects. The Role We Want You For As a Data Engineer at Clayco, you will help build and operate the Snowflake data lakehouse that powers reporting, advanced analytics, and AI. You’ll design reliable, well-tested pipelines and curated data models, improve platform performance and monitoring, and partner with both technical teams and business stakeholders to translate requirements into scalable, self-service data products. In this role, you will be part of a fast-paced team designing and implementing creative solutions to complex business issues. The Specifics of the Role Design, build, and maintain data pipelines from various source systems into a Snowflake data lakehouse. Analyze data elements, data flow, dependencies, and relationships from different systems and assist in designing conceptual, physical, and logical data models. Develop complex data sets to fulfill diverse business needs in reporting, advanced analytics, and ad-hoc analysis. Coordinate with third-party service providers for the construction and maintenance of data pipelines. Execute and enable data migrations across systems, such as SQL Server to Snowflake or other cloud data platforms. Develop and implement scripts for data lakehouse maintenance, monitoring, and performance tuning. Implement data quality checks, anomaly detection, and SLAs. Maintain metadata and documentation. Assist various business and technical stakeholders with data-related technical needs and issues. Collaborate closely with cross-functional teams to understand and transform business requirements into scalable and manageable data solutions. Present solutions and options to leadership, project teams, and stakeholders, adapting the communication style to both technical and non-technical audiences. Ensure adherence to documented design and development patterns and standards within the team. Proactively monitor and resolve ongoing production issues. Promote the approach of self-service data solutions and enable other teams with analytics solutions delivery through a 'Data as a Service' model. Make data AI-ready by translating business knowledge into a semantic layer. Requirements Hands-on experience in designing, developing, and implementing data solutions. Advanced SQL knowledge with strong query writing and stored procedures skills. Strong experience with relational databases such as Snowflake, SQL Server, or Oracle. Proficiency in object-oriented/object function scripting languages such as Python, Java, Scala, etc. Basic knowledge and understanding of Azure cloud services. Basic knowledge and understanding of stream-processing systems. Experience with data analysis, ETL, and workflow automation. Experience with AI systems both for personal productivity as well as business enablement. Some Things You Should Know No other builder can offer the collaborative design-build approach that Clayco does. We work on creative, complex, award-winning, high-profile jobs. The pace is fast! Why Clayco? 2025 Best Places to Work – St. Louis Business Journal, Los Angeles Business Journal, and Phoenix Business Journal. 2025 ENR Top 400 – Top Data Center Contractor (Top 3). 2025 ENR Top 100 Design-Build Firms – Design-Build Contractor (Top 5). 2025 ENR Top 100 Green Contractors – Green Contractor (Top 3). Benefits Discretionary Annual Bonus: Subject to company and individual performance. Comprehensive Benefits Package Including: Medical, dental and vision plans, 401k, generous PTO and paid company holidays, employee assistance program, flexible spending accounts, life insurance, disability coverage, learning & development programs and more! Compensation The salary range for this position considers a wide range of factors in making compensation decisions including but not limited to: Education, qualifications, skills, training, experience, certifications, internal equity, and location. Compensation decisions are dependent on the facts and circumstances of each case. #J-18808-Ljbffr Socket.dev