Lead Data Engineer — Scalable Data Platforms & Leadership

Kiewit

Omaha (NE)

On-site

USD 130,000 - 170,000

Full time

44 hours ago
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Benefits offered by this job

Medical, Dental & Vision
Wellness programs
Life insurance
Retirement matching
Paid time off

Job summary

Kiewit Technology Group seeks a Lead Data Engineer to design, build, and guide scalable data platforms powering enterprise analytics. You will lead pipelines, federate data models, and partner with analytics, product, and business teams.

The role blends hands-on engineering with technical leadership, requiring strong Python/SQL skills and experience with Snowflake/AWS/Azure/GCP. Located in La Vista, NE, with a comprehensive benefits package.

Qualifications

  • 7+ years of experience in data engineering or software engineering.
  • 2+ years in a lead or senior engineering role.
  • Strong proficiency in Python and SQL.
  • Extensive experience with cloud data platforms (Snowflake, Azure, AWS, or GCP).
  • Hands-on experience with Spark, Databricks, Airflow, Azure Data Factory, or similar tools.
  • Strong understanding of data modeling, ETL/ELT, and distributed systems.

Responsibilities

  • Lead the design and development of high-performing data pipelines and platforms.
  • Architect and optimize data lakes, warehouses, and lakehouse solutions.
  • Build and maintain batch and streaming data pipelines using modern tools.
  • Establish data engineering best practices, standards, and governance.
  • Maintain stable operations of data engineering pipelines.
  • Ensure data quality, reliability, security, and compliance
  • Mentor and coach data engineers; conduct code reviews.
  • Collaborate with cross-functional teams to translate business needs into technical solutions

Skills

Python
SQL
Distributed systems
ETL/ELT

Tools

Snowflake
Azure
AWS
GCP
Spark
Databricks
Airflow
Azure Data Factory

Job description

Kiewit Technology Group seeks a Lead Data Engineer to design, build, and guide scalable data platforms powering enterprise analytics. You will lead pipelines, federate data models, and partner with analytics, product, and business teams.

The role blends hands-on engineering with technical leadership, requiring strong Python/SQL skills and experience with Snowflake/AWS/Azure/GCP. Located in La Vista, NE, with a comprehensive benefits package.

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