Data Engineer 1 - Kiewit Technology Group

Kiewit; Omaha (NE); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with matching

Paid time off

Wellness program

Employee assistance program

Life insurance

Disability insurance

Job summary

Kiewit is seeking an entry-level Data Engineer to join our Data Platform team in La Vista, NE. You will help build, test, and maintain pipelines and infrastructure moving data into analytics-ready tables, mentored by experienced engineers as you grow into production ownership.

This role is ideal for a recent graduate with strong SQL, Python, and data modeling fundamentals who is curious, detail-oriented, and comfortable asking questions in ambiguous situations.

Qualifications

• 0-3 years of relevant experience in data, analytics, or software
• Internship or project coursework with data, analytics, and stakeholders
• Degree in CS/CS & Engineering, Data Science or similar
• SQL proficiency: joins, aggregations, normalization
• Python w/ pandas and basic OOP
• Git/GitHub in class project or personal repo
• ETL/ELT and batch vs streaming concepts
• Command line and cloud/dev environment familiarity
• Strong written communication for documentation

Responsibilities

• Write and maintain SQL transformations and Python scripts for data ingestion and transformation workflows
• Assist in building and testing ETL/ELT pipelines under guidance of senior engineers
• Contribute to code reviews, documentation, and testing to keep data trustworthy
• Collaborate with analysts, data architects and stakeholders to define data requirements
• Learn and apply our data stack (cloud lake house, orchestration, tooling)
• Surface blockers, ask questions, and propose solutions as part of a team

Skills

SQL

Python

Data modeling

Git / GitHub

ETL/ELT concepts

Command line

Communication

Attention to detail

Education

Bachelors in CS/Engineering/Data Science

Tools

Azure

GCP

Databricks

dbt

Snowflake

Job description

Requisition ID: 182633

Job Level: Entry Level

Home District/Group: DHO Information Technology Group

Department: Technology Group

Market: Corporate Home Office

Employment Type: Full Time

Position Overview

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.

District Overview

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.

Location

This position will be based out of our office at 12312 Port Grace Blvd, La Vista, NE 68128. This is not a remote or hybrid work opportunity.

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

Required Qualifications

• 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

Preferred Qualifications

• 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

Other Requirements

• 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.

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including 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, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.