Senior Analytics Engineer

Responsibilities

• Design, build, and maintain production data pipelines
• Support integrations across enterprise and design-related platforms
• Optimize pipelines for performance, scalability, security, and cost efficiency
• Ensure data is reliable, scalable, and accessible
• Partner with IT, Enterprise and Practices to enable smooth data operations
• Translate business requirements into clean, scalable data models with minimal rework
• Improve performance, reliability, and usability of existing data pipelines and reporting solutions
• Migrate core data infrastructure from legacy systems to modern platforms, supporting the business’s shift to a data product-first strategy
• Effectively collaborate with stakeholders in AEC, design, or project-based environments

Qualifications

• Strong proficiency in SQL and data modeling with a track record of building scalable solutions
• Hands-on experience developing and maintaining ETL/ELT production pipelines
• Experience working with the Azure Data Platform (Data Factory, Data Lake, Databricks preferred) in production environments
• Proven ability integrating data across multiple systems and APIs
• Solid understanding of data warehousing concepts and analytics data structures
• Proven track record translating business needs into technical requirements and delivering actionable data products

Requirements

• Experience working with project-based data (financials, schedules, resource planning, or operational delivery data)
• Experience working in environments where data is distributed across multiple systems
• Experience supporting data products in AEC (Architecture, Engineering, Construction), design, or real estate consulting environments OR similar project-based industries (construction, engineering, capital projects)
• Experience with Deltek Vantagepoint, HubSpot, UltiPro, or similar enterprise systems
• Experience with BIM, CAD, or design platforms (Revit, AutoCAD, BIM 360, ACC)
• Experience improving data consistency across disconnected systems
• Experience implementing data quality frameworks to identify where data quality degrades and fix root causes, not just downstream reporting issues
• Experience supporting business intelligence reporting for project performance analytics, forecasting, and/or resource planning
• Understanding of and some hands-on experience with the end-to-end business intelligence build/maintain lifecycle (data model → dataset → dashboard) using Power BI and/or Tableau

Education & Experience

• Bachelor’s Degree in Computer Science, Data (or related field), or equivalent in appropriate education and experience
• 5–8+ years of experience in data engineering, BI, or analytics delivery roles

Benefits

• National Salary range: $70,000-$110,000 (compensation factors are based upon years of relevant experience, qualifications/licensure, education, and location)
• Additional compensation includes bonuses and benefits
• Bonuses can include but are not limited to: Long Term Incentive Plan, Short Term Incentive Plan, Profit Sharing
• Benefits of NELSON: 401(K) plan with company match, Full health benefits including medical, dental, and vision, Wellness program with rewards for healthy activities, Pet Insurance, Opportunities for career advancement, Paid time off and holiday pay, Paid parental leave, Flexible working schedules and work from home options based on client’s needs, Professional Development including discretionary support and reimbursement for registrations, certifications, and membership to a professional organization