Senior Data Engineer

Emery Sapp and Sons, Inc.

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of data engineering experience
  • Proficient in SQL and Python
  • Hands-on experience with cloud data warehouses, preferably BigQuery
  • Knowledge of transformation frameworks like dbt
  • Understanding of dimensional modeling concepts
  • Familiarity with ELT/data replication tools such as Fivetran
  • Strong ability to collaborate with non-technical stakeholders

Responsibilities

  • Own and manage data pipelines, ensuring performance and reliability
  • Monitor automated data ingestion and troubleshoot issues
  • Maintain and develop the cloud architecture for the data warehouse
  • Define performance standards and cost efficiency metrics
  • Design and maintain dimensional data models in collaboration with business leaders
  • Build models for accurate and decision-ready reporting
  • Implement data quality checks and maintain clear data lineage

Benefits

  • Opportunity for significant ownership of the data platform
  • Collaborative environment with direct partnerships across multiple business units
  • Hands-on experience with cutting-edge data technologies
  • Focus on practical problem-solving rather than theoretical perfection
  • Located in a dynamic area with access to various industries
Full Job Description
This is an on-site role based in Columbia, MO or Kansas City, MO.
Candidates must be within driving distance and able to work in-office regularly. Remote work is not available for this position.

It’s 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.

What you’ll do:

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
What we’re looking for
  • 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 have
  • 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

Reminders:
  • This is strictly an on-site role
  • Must be located within driving distance of Columbia, MO or Kansas City, MO
  • No remote or hybrid work options available


Who Thrives Here:
The person who does well here likes owning the whole thing rather than a corner of it, cares more about whether the numbers are right than whether the pipeline is clever, and would rather ship a model the finance team actually uses than a perfect one nobody asked for. You're comfortable being the person who knows how the data fits together, and you treat "the business owner doesn't quite know what they want yet" as part of the job rather than a blocker.

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