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Data Solutions Engineering Manager

Kiewit Corporation

Salary not specified
Oct 27, 2025
Lenexa, KS, US
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Kiewit Engineering Group, Inc is looking to solve data operations and project delivery problems by leading a small team of data analysts and solution engineers to ensure smooth data operations and project delivery.

Requirements

  • Strong working knowledge of Python, SQL, APIs
  • Experience collaborating across business and technical teams
  • Familiarity with cloud tools (Snowflake, Power BI, etc.) a plus
  • Python programming for automation, prototyping, and utilities
  • SQL for data investigation and transformation
  • Familiarity with data visualization tools (Power BI, Streamlit)
  • Comfortable reading and debugging legacy code

Responsibilities

  • Leadership: Lead a small technical team (2-4+) with clear goals, ownership, and delivery expectations. Serve as direct manager or functional lead (dotted line) for some existing Industrial Data team members.
  • Data Coordination and Issue Resolution: Serve as the go-to person for identifying data issues and finding the right contacts in KTG and KDS to get them resolved. This includes investigating with SQL scripts, guiding platform teams to the source of data errors, and ensuring the corrections are implemented.
  • Project and Tool Development: Manage and program tools (often in Python) to support our teams. Build utilities like civil estimation tools and machine learning POCs. Design and improve tools while evaluating buy vs. build decisions.
  • Guiding and Mentoring Analysts: Mentor analysts in using Python, APIs, and transitioning legacy Excel data into more robust structures. Foster a culture of curiosity and problem-solving.
  • Process Improvement and Strategic Planning: Evaluate and find ways to improve estimation workflows to accelerate delivery and increase accuracy. Reduce friction and improve collaboration across teams.
  • Data Modeling and Analytical Insight: Work independently to source, structure, and clean data from a wide range of systems using SQL and Python. With limited direction, analyze that data to generate actionable business insights — including forming and testing hypotheses, uncovering correlations, and identifying opportunities.
  • Connect technical findings to their real-world business impact and communicate recommendations effectively.

Other

  • Bachelor's degree in Engineering, Computer Science, Data Science, or a related field
  • Experience leading a small technical including setting direction, giving feedback, and coordinating delivery.
  • Excellent communication and collaboration skills
  • Curiosity and drive to solve problems independently
  • Ability to explain technical topics to non-technical audiences