Mechanical Data Solutions Engineer - Industrial & Water Engineering at Peter Kiewit Sons' in Lenexa, KS

  • Company: Peter Kiewit Sons'
  • Location: Lenexa, KS
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-13

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Job description

Requisition ID: 182040 Job Level: Mid Level Home District/Group: Kiewit Industrial & Water Engineering Department: Estimating Market: Industrial Employment Type: Full Time Position Overview Kiewit Industrial & Water Engineering (KIWE) is seeking a Mechanical Data Solutions Engineer to join our Lenexa, Kansas office. This role is responsible for developing, improving, and supporting data-driven mechanical solutions that strengthen estimating, engineering, and project delivery workflows for complex industrial projects. The Mechanical Data Solutions Engineer partners closely with engineering, estimating, procurement, construction, and start-up teams to translate project requirements, model data, and business needs into reliable digital tools, reporting solutions, and integrated data workflows. This position plays a critical role in connecting engineering and estimating information, improving data quality, enabling model-based quantity and cost insights, and supporting consistent decision-making across project teams. In addition to delivering high-quality data solutions, the Mechanical Data Solutions Engineer supports the growth and continuous improvement of mechanical estimating and engineering workflows through process innovation, technical collaboration, and practical implementation of digital tools. District Overview Kiewit Engineering Group, Inc. is a full-service engineering consulting and design firm serving a broad range of industrial markets. With more than 1,300 engineers and design professionals across all major engineering disciplines, we support the industrial, transportation, power, water/wastewater, mining, building, and oil, gas & chemical markets. Our operations-focused engineering approach integrates over 130 years of construction expertise to deliver safe, efficient facilities — finishing projects on schedule and ensuring that Nobody Gets Hurt. The Industrial & Water Engineering team includes process, mechanical, electrical, controls, structural, architectural, geotechnical, and civil disciplines. We specialize in EPC and design-build delivery for industrial projects in markets including: Datacenters Mineral Processing Renewable Fuels Pulp & Paper Industrial Energy, Water & Utilities Location This position is based in Lenexa, Kansas . Opportunities for flexible work are available. Responsibilities Design, build, and maintain data workflows that support mechanical estimating, engineering, procurement, construction, and project delivery teams. Develop and improve processes for extracting, transforming, validating, and organizing mechanical data from models, drawings, specifications, vendor information, estimating tools, and other project systems. Create reliable reporting and analytics solutions that provide clear visibility into quantities, scope, cost drivers, design progress, data completeness, and project trends. Partner with mechanical engineering, estimating, BIM/VDC, procurement, construction, and project controls teams to understand business needs and translate them into practical data solutions. Support model-based quantity takeoff, data exchange, and digital estimating workflows by improving how mechanical information is structured, connected, and reused across platforms. Develop automation tools, dashboards, templates, and repeatable processes that reduce manual effort, improve consistency, and increase confidence in mechanical data. Establish and maintain data quality checks, validation rules, and review processes to identify missing, inconsistent, or inaccurate mechanical information. Work with project teams to troubleshoot data issues, reconcile discrepancies, and improve the reliability of information used for estimating and decision-making. Coordinate with internal technology, analytics, and application teams to support integration between engineering models, estimating systems, databases, reporting tools, and enterprise platforms. Document data workflows, standards, assumptions, and tool instructi

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