Sr Data Engineer

Sr Data Engineer Data Omaha, Nebraska Direct Hire Omaha Apr 30, 2026 As our Senior Data Engineer, you'll own the data pipeline that powers our next generation of data products—from enterprise data access to AI-powered analytics, building, scaling, and evolving our data pipeline, and shipping products that building materials professionals will use every day. You'll work within our broader architectural ecosystem, collaborating closely with Systems Engineering, Information Security, and the Architecture teams. As the expert voice for data, you'll advocate for best practices and drive execution within those guardrails.

RESPONSIBILITIES AND DUTIES

Own the Data Pipeline Design, build, and evolve the data pipelines that power our data products—working within our established stack (PostgreSQL, Kafka, dbt). Drive technical decisions for scalable and performant data extraction, transformation, and delivery—selecting tools, evaluating build vs. buy, and establishing frameworks and processes. Establish data governance standards and quality assurance practices. Serve as our internal expert on data engineering best practices. Ship Products Launch multiple data products, including enterprise data access (PostgreSQL), event streaming (Kafka), and in-app analytics. Build production-ready pipelines that deliver customer data reliably at scale in a multi-tenant environment. Create a foundational data infrastructure to support AI and machine learning capabilities across our product portfolio. Partner with Product to iterate quickly from customer feedback to deployed improvements. Collaborate Across Teams Work closely with Systems Engineering and Architecure to ensure data infrastructure integrates seamlessly with our broader technical operations. Partner with Information Security to implement data security, access controls, and compliance requirements. Provide technical leadership and mentorship to Data Engineers on the team. Conduct code reviews that elevate quality and transfer knowledge across the organization.

KNOWLEDGE, SKILLS, AND ABILITIES

5+ years of hands-on data engineering experience, with at least 2 years in a senior or lead capacity. Deep expertise in SQL designing schemas, optimizing queries, and troubleshooting performance issues confidently. Production experience building and maintaining data pipelines using modern tools (dbt strongly preferred; experience with Airflow, Meltano, Singer, or similar also valuable). Strong Python skills for data processing, automation, and scripting. Cloud infrastructure experience (AWS and GCP preferred: S3, Glue, Athena, Redshift, Lake Formation). DevOps fluency—CI/CD pipelines, containerization, and infrastructure-as-code are familiar territory. Collaborative mindset and strong communication skills. Background in building data products or platforms (not just internal analytics). Exposure to machine learning pipelines or feature stores.

EDUCATION AND EXPERIENCE

Bachelor or Master's Degree in Computer Science, Computer Engineering, Electrical Engineering, Management Information Systems, or related field preferred. Well-experienced in working in Agile shop.

WORK ENVIRONMENT AND PHYSICAL DEMANDS

Normal office environment with use of computers and telephone systems; no unusual physical demands. Travel to customer locations including overnight, business air travel, and car rental.