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Data Engineer (Lakehouse & Analytics Platform)

Kiewit • Remote (OR, US) • 1w ago

Requisition ID: 179930

Job Level: Mid Level

Home District/Group: DHO Kiewit Data Services

Department: Data Services

Market: Corporate Home Office

Employment Type: Full Time

Position Overview

Kiewit Data Services is building a modern data platform to support analytics and significantly expand Kiewit’s use of AI and machine learning beyond what we do today. We are hiring multiple Data Engineers (4+ years of experience) to help build reliable data pipelines and curated datasets that power reporting, analytics, and data products.

We’re looking for people with strong fundamentals, a collaborative mindset, and a clear interest and ability to learn—especially in modern cloud and lakehouse technologies

District Overview

Kiewit Data Services (KDS) helps make Kiewit a data-driven organization by delivering trusted data, scalable data products, and platform capabilities that support teams across the business.

Location

This role is available for candidates to work from one of our office locations in Omaha, NE; Lone Tree, CO; or Lenexa, KS. Fully remote candidates may be considered for this role.

Responsibilities

Build and support data pipelines that ingest, transform, and publish data for analytics and data products.
Develop well-structured datasets using modern modeling and testing practices (e.g., dbt).
Orchestrate and monitor workflows using tools like Dagster (or similar).
Improve reliability through automation, testing, documentation, monitoring, and operational best practices.
Partner with engineers and stakeholders to understand needs and deliver high-quality data solutions

Qualifications

4+ years of experience in data engineering, analytics engineering, software engineering, or a related role (or equivalent practical experience).
Experience with Python and SQL in production environments.
Experience with or strong interest in learning Azure and Databricks.
Experience with or strong interest in learning Dagster and dbt.
Understanding of lakehouse / data lake architecture concepts and how data is curated for analytics use cases.
Strong communication skills and ability to work effectively with cross-functional teams.

Preferred Qualifications

Experience with AI-assisted software engineering.

Experience with Spark-based processing, lakehouse table formats, and performance optimization.

Familiarity with CI/CD, Git-based workflows, and production support/on-call practices.

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.

Base Compensation: $90,000/yr - $150,000/yr
(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)

This posting will be active from: 03/03/2026 - 03/06/2026

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.