Senior Data Engineer
Emery Sapp & Sons, Inc. (ESS) Columbia, Missouri, United States
Construction · 1,001-5,000 employees
Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
About the role
The Senior Data Engineer will own the entire data platform, including pipeline management, warehouse architecture, and data modeling. They will partner with business leaders to translate requirements into scalable, reliable data structures and reporting solutions.
What they look for
Requirements
Candidates must have strong fundamentals in SQL and Python, along with hands-on experience in cloud data warehousing and transformation frameworks like dbt. The role requires the ability to work independently and translate complex business needs into technical data solutions.
Full 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.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
Similar roles
-
Data Engineer
Stiltz Homelifts Wokingham, England, United Kingdom · £35K–£45K/yr
-
AI & Data Engineer
Scalian Milan, Lombardy, Italy · €30K–€40K/yr
-
GIS Data Engineer
Advian Espoo, Uusimaa, Finland
- Data Engineer
-
Data Engineer Intern
Sertis Bangkok, Thailand
-
Senior Big Data Engineer
Gaming Innovation Group Barcelona, Catalonia, Spain