Senior Data Engineer
About the role
- Own the data pipelines
- Manage automated replication and ingestion into the warehouse
- Monitor performance, troubleshoot failures, and handle schema changes
- Add new data sources as business needs evolve
- Own the platform architecture
- Maintain and evolve the cloud warehouse architecture
- Define layering, naming conventions, performance standards, and cost efficiency
- Ensure scalability across multiple subsidiaries
- Own the data modeling
- Design and maintain dimensional models (facts and dimensions)
- Partner directly with Finance, HR, and Operations leaders to translate business needs into data structures
- Build models that support accurate, decision-ready reporting
- Ensure data trust and reliability
- Build in testing, documentation, and data quality checks
- Maintain clear data lineage and transparency
- Ensure stakeholders trust the accuracy of reporting
- Strong data engineering fundamentals — clean, maintainable SQL and Python
- Experience building and operating production data pipelines
- Hands-on experience with a cloud data warehouse (BigQuery preferred; Snowflake, Redshift, or similar acceptable)
- Experience with transformation frameworks (dbt strongly preferred) and layered data architecture (raw ? staging ? modeled)
- Solid understanding of dimensional modeling (facts vs. dimensions, star schema design)
- Experience with ELT / data replication tools (Fivetran or similar)
- Ability to partner with non-technical stakeholders and translate business needs into scalable data solutions
- Comfortable owning decisions and operating independently
- Experience with Google Cloud Platform (Cloud Run, Cloud SQL/PostgreSQL, Pub/Sub, Cloud Scheduler, Secret Manager)
- Experience integrating ERP systems (Viewpoint Vista or similar) and HCM platforms (Workday)
- Familiarity with CI/CD-driven data workflows and version-controlled transformations
- Experience managing warehouse cost optimization
- Background in construction, engineering, or operations-heavy industries
- RemindersThis is strictly an on-site role
- Must be located within driving distance of Columbia, MO or Kansas City, MONo remote or hybrid work options available
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
