Data Engineer

Kiewit; Lenexa (KS); On-site; USD 110,000 - 150,000; Full time

Job summary

Kiewit Corporation seeks a Data Engineer to develop ELT/ETL pipelines moving data from source apps to data platforms for reporting and analytics. You will work on campus with Lenexa, Kansas or Omaha, Nebraska attendance.

The role emphasizes building scalable data solutions across lakehouse architectures, using Databricks, Spark, Snowflake and dbt, with CI/CD practices and on-site collaboration with cross-functional teams.

Qualifications

• 3+ years of experience in data engineering, analytics engineering, software engineering, or related discipline.
• Advanced experience with Python and SQL.
• Experience designing and operating scalable batch or streaming data pipelines.
• Strong understanding of data lake, lakehouse, cloud data warehouse, and dimensional data modeling concepts.
• Experience with Microsoft Azure, Databricks, and Snowflake.
• Experience with Dagster and dbt.
• Understanding of distributed data processing, partitioning, schema evolution, and performance optimization.
• Experience implementing automated testing, monitoring, alerting, and operational controls for production data systems.
• Familiarity with source control, pull-request reviews, CI/CD, and automated deployment practices.
• Ability to lead technical discussions and communicate complex topics clearly to technical and nontechnical audiences.

Responsibilities

• Build and support data pipelines that ingest, transform, validate, and publish data for analytics and enterprise data products.
• Implement data solutions across lakehouse, data lake, and cloud data warehouse platforms following established architecture and design patterns.
• Develop reusable datasets and data transformations using Databricks, Spark, Snowflake, and dbt.
• Follow team standards for data modeling, coding, testing, documentation, monitoring, and deployment.
• Configure and support scheduled data workflows using JAMS, Dagster, or similar orchestration platforms.
• Implement data-quality checks for completeness, accuracy, freshness, schema changes, and business rules.
• Profile source data and collaborate with data modelers, DBAs, and technical leads to identify data structures, performance needs, and required database changes.
• Apply Git-based development and established CI/CD practices to develop, test, document, schedule, and deploy data pipelines.
• Contribute to data platform practices for security, governance, metadata, lineage, reliability, and recovery.
• Work with product owners, architects, platform engineers, analysts, data scientists, and business stakeholders to translate requirements into maintainable data solutions.
• Coordinate with data producers and consumers to clarify data requirements, dependencies, ownership, and expectations.
• Produce and maintain solution documentation as a standard deliverable, including data flows, transformation logic, dependencies, operational procedures, and support guidance.
• Troubleshoot production issues, support business-critical workflows, and document findings and resolutions to help prevent recurring problems.
• Participate in production support, on-call duties, agile delivery activities, and post-deployment knowledge sharing.
• Participate in design and code reviews, incorporating feedback to improve the quality, performance, and maintainability of data solutions.
• Share technical knowledge with teammates and contribute to team learning and continuous improvement.
• Evaluate tools and approaches relevant to the team’s data platform, and recommend improvements through established technical review processes.
• Use AI-assisted development tools responsibly to support engineering, testing, and documentation.

Skills

Python

SQL

Data pipelines

ETL/ELT

Databricks

Spark

Snowflake

dbt

Dagster

Azure

CI/CD

Git

Tools

Databricks

Spark

Snowflake

dbt

Dagster

Airflow

Azure DevOps

GitHub Actions

Job description

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Market:Corporate Home Office

Employment Type:Full Time

Position Overview

The Data Engineer is responsible for the development of ELT/ETL packages and scripts to move data from source applications to data Platforms for Reporting and Analytic functions

District Overview

Kiewit Technology Group builds solutions to enable and support our company's expansive operations. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team utilizes systems and tools that manage every part of Kiewit's business and the project lifecycle to improve planning and day-to-day execution in the field. We give our people real-time data to make faster, smarter decisions.

Location

This role is located on our Lenexa, KS or Omaha, NE campus and requires regular on site attendance.

Responsibilities

· Build and support data pipelines that ingest, transform, validate, and publish data for analytics and enterprise data products.

· Implement data solutions across lakehouse, data lake, and cloud data warehouse platforms, following established architecture and design patterns.

· Develop reusable datasets and data transformations using technologies such as Databricks, Spark, Snowflake, and dbt.

· Follow team standards for data modeling, coding, testing, documentation, monitoring, and deployment.

· Configure and support scheduled data workflows using JAMS, Dagster, or similar orchestration platforms.

· Implement data-quality checks for completeness, accuracy, freshness, schema changes, and business rules.

· Profile source data and collaborate with data modelers, DBAs, and technical leads to identify data structures, performance needs, and required database changes.

· Apply Git-based development and established CI/CD practices to develop, test, document, schedule, and deploy data pipelines.

· Contribute to data platform practices for security, governance, metadata, lineage, reliability, and recovery.

· Work with product owners, architects, platform engineers, analysts, data scientists, and business stakeholders to translate requirements into maintainable data solutions.

· Coordinate with data producers and consumers to clarify data requirements, dependencies, ownership, and expectations.

· Produce and maintain solution documentation as a standard deliverable, including data flows, transformation logic, dependencies, operational procedures, and support guidance.

· Troubleshoot production issues, support business-critical workflows, and document findings and resolutions to help prevent recurring problems.

· Participate in production support, on-call duties, agile delivery activities, and post-deployment knowledge sharing.

· Participate in design and code reviews, incorporating feedback to improve the quality, performance, and maintainability of data solutions.

· Share technical knowledge with teammates and contribute to team learning and continuous improvement.

· Evaluate tools and approaches relevant to the team’s data platform, and recommend improvements through established technical review processes.

· Use AI-assisted development tools responsibly to support engineering, testing, and documentation.

Qualifications

· 3+ years of experience in data engineering, analytics engineering, software engineering, or a related discipline, or equivalent practical experience.

· Advanced experience with Python and SQL.

· Demonstrated experience designing and operating scalable batch or streaming data pipelines.

· Strong understanding of data lake, lakehouse, cloud data warehouse, and dimensional data modeling concepts.

· Experience with, or demonstrated ability to quickly learn, Microsoft Azure, Databricks, and Snowflake.

· Experience with, or strong interest in learning, Dagster and dbt.

· Understanding of distributed data processing, data partitioning, schema evolution, and performance optimization.

· Experience implementing automated testing, monitoring, alerting, and operational controls for production data systems.

· Familiarity with source control, pull-request reviews, CI/CD, and automated deployment practices.

· Ability to lead technical discussions and communicate complex topics clearly to technical and nontechnical audiences.

· Demonstrated ability to work effectively across engineering, analytics, security, governance, and business teams.

· Strong problem-solving, ownership, prioritization, and decision-making skills.

Preferred Qualifications

· Experience developing analytics solutions with dbt, including testing, documentation, deployment, and model optimization.

· Experience building or operating workflows with Dagster, Airflow, or a comparable orchestration platform.

· Experience with Azure DevOps or GitHub-based CI/CD workflows.

· Experience with Grafana or similar monitoring and observability platforms.

· Experience supporting data platforms in secure or large-enterprise environments.

· Experience using AI-assisted software engineering tools securely and effectively.

· Demonstrated experience mentoring engineers or leading technical initiatives. #LI-AK1

Other Requirements:

• 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.
• May work at various different locations and conditions may vary.

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.

There’s no limit to what you’ll do at Kiewit. Whether you’re building or supporting projects that provide communities with dependable energy, safe transportation, clean water, or access to health care, the work you do will positively impact people’s lives for generations to come.

Here you’ll have endless opportunities to expand your expertise through on-the-job experience and internal and external training and development opportunities.

We offer our full-time staff employees a comprehensive benefits package that’s among the best in our industry.From top-tier health care programs to employee assistance programs and retirement planning, we aim to provide you with the tools you need to be successful in the areas of life that matter most to you.

Kiewit is an equal-opportunity employer, and we believe a diverse workforce is vital to the success of our business. We continue our efforts to attract, develop and retain employees from all backgrounds who are passionate about our industry.

We are committed to veteran and military hiring and will consider relevant military experience as equivalent to qualification requirements.