Job description

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 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 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. • 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. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Requirements

Must-haves

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
District Overview
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)

Nice-to-haves

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

Application prep

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pythonsqlazureawsgcp

Platform: successfactors
Effort: medium

Benefits

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Vision

Paid Time Off

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