Lead Data Engineer

Kiewit
Omaha, NE, United States
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Shift work
Job source

Tech stack

Airflow Amazon Web Services Microsoft Azure Code Review Information Engineering Extract Transform Load (ETL) Distributed Systems Python (Programming Language) Microsoft SQL Server Power BI Cloud Services Standard Sql
+9 more
Azure Data Lake Software Engineering Azure Data Factory Snowflake Apache Spark Data Lakes Data Management Data Pipelines Databricks

Job description

We are seeking a Lead Data Engineer to design, build, and lead scalable data platforms that power data and analytics solutions to the enterprise. This role blends hands-on engineering with technical leadership, partnering closely with analytics, product, and business stakeholders., * 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

Requirements

  • 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

Preferred Qualifications

  • Experience with lakehouse and modern analytics architectures
  • Experience with various data platforms: Snowflake, Azure Data Lake, SQL Server
  • Familiarity with BI tools such as Power BI.
  • Experience working in regulated or large-scale enterprise environments

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.

Benefits & conditions

  • 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.

About the company

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.

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