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DMSi Software · 7 hours ago

Sr Data Engineer

Omaha, NE

Full-time

Onsite

Senior Level

5+ years exp

DMSi Software is focused on creating technology solutions for the Building Materials industry, and they are seeking a Senior Data Engineer to own the data pipeline for their next generation of data products. The role involves designing and evolving data pipelines, launching data products, and collaborating across teams to ensure seamless integration of data infrastructure.

Information TechnologyRoboticsSoftware

Responsibilities

Own the Data Pipeline

Design, build, and evolve the data pipelines that power DMSi's 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 DMSi's 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 DMSi's product portfolio

Partner with Product to iterate quickly from customer feedback to deployed improvements

Collaborate Across Teams

Work closely with Systems Engineering and Architecture to ensure data infrastructure integrates seamlessly with DMSi's 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

Qualification

Data pipeline developmentSQL expertisePython programmingCloud infrastructureDevOps practicesData governanceAgile methodologyMachine learning exposureCollaboration skillsCommunication skills

Required

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

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

Preferred

Bachelor or Master's Degree in Computer Science, Computer Engineering, Electrical Engineering, Management Information Systems, or related field preferred

Cloud infrastructure experience (AWS and GCP preferred: S3, Glue, Athena, Redshift, Lake Formation)