Senior Data Engineer

Emery Sapp & Sons, Inc. (ESS)•Kansas City, MO

4d•Onsite

About The Position

This is a broad role with real ownership, which is both the appeal and the challenge: there isn’t a senior engineer above you reviewing every decision. We’re looking for someone ready to own the whole platform and confident enough to ask questions when needed. ESS Companies (ESSC) isn’t your average enterprise. As a 100% employee-owned organization, we’re redefining the employee experience. Our people tackle the nation’s heavy civil challenges with enhanced safety and deliver with excellence. ESSC gives them the support, training, and total rewards they deserve. ESSC exists for the workers.

Requirements

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

Nice To Haves

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

Responsibilities

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