Data Engineer 1 - Kiewit Technology Group

Kiewit • La Vista, NE

1d • Onsite

About The Position

Kiewit is looking for an entry-level Data Engineer to join our Data Platform team. In this role, you'll help build, test, and maintain the pipelines and infrastructure that move data from source systems into analytics-ready tables, working alongside experienced engineers who will mentor you as you grow into production ownership. This is a great fit for a recent graduate with strong fundamentals in SQL, Python, and data modeling who is curious, detail-oriented, and comfortable asking questions in ambiguous situations.

Kiewit Technology Group (KTG) builds solutions to enable and support a $16 billion company. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team deploys technology solutions to the field and home office departments that increase profitability by maximizing the way we use our people and resources in daily operations. KTG uses systems and tools that manage every part of Kiewit’s business and lifecycle of a project to improve planning and day-to-day execution in the field by giving our people real-time data to make faster, smarter decisions. When you join KTG, you will make an impact on the critical work we do every day.

Requirements

• 0–3 years of relevant experience (internships, academic/personal projects, or early-career work in data, analytics, or software)
• Demonstrable internship or project coursework experience with data, analytics, and business stakeholders
• Degree in Computer Science / Computer Science & Engineering, Data Science or similar
• SQL proficiency: basic joins, aggregations, and database normalization concepts
• Python (or similar): comfortable writing scripts, using libraries like pandas, and understands functions/OOP basics
• Git/GitHub: has used version control in a class project or personal repo; understands branches/PRs at least conceptually
• Conceptual understanding of data pipelines: can explain ETL/ELT and batch vs. streaming at a high level
• Comfort with the command line and basic cloud/dev environment navigation
• Strong written communication skills for documentation and async collaboration

Nice To Haves

• Exposure to a cloud platform such as Azure, or GCP
• Familiarity with modern data tooling such as Databricks, dbt, Snowflake
• Experience with data quality or testing frameworks
• Coursework or project experience involving data warehousing or dimensional modeling

Responsibilities

• Write and maintain SQL transformations and Python scripts that support data ingestion and transformation workflows
• Assist in building and testing ETL/ELT pipelines under the guidance of senior engineers
• Contribute to code reviews, documentation, and testing practices that keep our data trustworthy
• Collaborate with analysts, data architects and business stakeholders to understand data requirements and troubleshoot issues
• Learn and apply our data stack (cloud lake house, orchestration, and transformation tooling)
• Surface blockers, ask questions, and propose solutions as part of a collaborative team
• Regular, reliable attendance
• Work productively and meet deadlines timely
• Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
• Perform work safely and effectively.
• Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
• Work during normal operating hours to organize and complete work within given deadlines.
• Work overtime and weekends as required.

Benefits

• top-tier medical, dental and vision plans covering eligible employees and dependents
• voluntary wellness and employee assistance programs
• life insurance
• disability
• retirement plans with matching
• generous paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level