Kiewit Infrastructure Engineers is looking to solve data-related challenges by improving data operations and project delivery through better data management, analysis, and utilization of historical project data.
Requirements
- Demonstrated ability to design and implement end-to-end data solutions — from raw data ingestion and modeling through analysis, visualization, or machine learning applications.
- Prior exposure to cloud or distributed computing environments, data pipeline optimization, and large-scale data workflows.
- Familiarity with cloud data platforms (AWS, GCP, or Azure), SQL/NoSQL systems, and containerization.
- Knowledge of data governance, privacy compliance, and metadata management frameworks.
- Minimum of 5 years of experience in data science, data engineering, or applied research within an engineering or construction company in North America.
- Minimum of 5 years demonstrated experience performing as a technical lead with experience managing software teams and the ability to work in a fast-paced, matrixed organization with exposure to senior leaders.
- Experience leading cross-functional collaborations that connect research prototypes to production systems
Responsibilities
- Design and maintain scalable, reliable data solutions (pipelines, warehouses / lakes, streaming systems, APIs) that support business needs.
- Establish and enforce data governance frameworks, data lineage, metadata, and standards for data quality, integrity and usability.
- Ensure systems comply with regulations (e.g., privacy/security) and appropriately manage risk around the data solutions.
- Monitor and improve data quality, accuracy, completeness and readiness for analytics/insight consumption.
- Work with business stakeholders, analytics/data science teams, product owners, IT and other groups to translate business requirements into technical solutions and data capabilities.
- Plan, prioritize and oversee the delivery of data-solutions projects: from solution design through deployment, monitoring and improvement.
- Stay current with evolving data technologies, evaluate new tools/approaches (cloud, streaming, ML-ops, etc.) and drive improvements in architecture and processes.
Other
- Lead, mentor and develop a team of data engineers, solution engineers and data analysts — setting objectives, providing feedback, coaching and supporting career growth.
- Communicate complex technical ideas in accessible terms; help the business understand trade-offs, constraints and opportunities.
- Establish and promote best practices (code reviews, pipeline monitoring, documentation, automation) within the team and district.
- Master or PhD in Computer Science, Data Analytics Preferred
- Regular, reliable attendance
