Mechanical Data Solutions Engineer - Industrial & Water Engineering

Mechanical Data Solutions Engineer - Industrial & Water Engineering

Location:

Lenexa, KS, US

Requisition :182040

Job Level:Mid Level

Home District/Group:Kiewit Industrial & Water Engineering

Employment Type:Full Time

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.

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 such as:

• Datacenters
• Mineral Processing
• Renewable Fuels
• Pulp & Paper

This position is based in Lenexa, Kansas
. Opportunities for flexible work are available.

• 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 instructions so project teams can apply solutions consistently.
• Provide training and technical support to users adopting new mechanical data tools, reports, and workflows.
• Evaluate emerging technologies and recommend improvements that enhance mechanical data management, automation, analytics, and model-based project delivery.
• Incorporate AI-enabled tools and methods into mechanical data workflows where appropriate, ensuring solutions are developed, validated, documented, and governed through a consistent and quality-focused methodology.
• Evaluate opportunities to use AI-assisted development, automation, anomaly detection, and data quality monitoring to improve speed, consistency, and reliability while maintaining human review, traceability, and practical engineering judgment.
• Drive continuous improvement by identifying opportunities to standardize, simplify, and scale mechanical data solutions across projects and teams.

• Bachelor’s degree in mechanical engineering, engineering technology, data analytics,…