Lead Data Engineer
Kiewit Corporation
Requisition ID: 182781 Job Level: Senior Level Home District/Group: DHO Information Technology Group Department: Technology Group Market: Corporate Home Office Employment Type: Full Time Position Overview 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. 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 position is based in La Vista, Nebraska. 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
- 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
- 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
$85k - $110k
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