Senior Data Engineer

Emery Sapp & Sons, Inc. (ESS); New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Emery Sapp & Sons, Inc. is seeking a data engineer who will own the data pipelines, platform architecture, and data modeling. The role requires owning end-to-end data solutions, collaborating with Finance, HR, and Operations, and ensuring data reliability for reporting.

You will manage ingestion, warehouse architecture, and dimensional modeling while maintaining data quality and lineage. This is an on-site role based in Missouri with no remote options.

Qualifications

• Strong SQL and Python fundamentals.
• Experience building and operating production data pipelines.
• Hands-on experience with cloud data warehouses (BigQuery preferred).
• Experience with transformation frameworks (dbt preferred) and layered data architecture.
• Solid understanding of dimensional modeling (facts vs. dimensions).
• Experience with ELT/data replication tools (Fivetran or similar).
• Ability to translate business needs into scalable data solutions.

Responsibilities

• Own the data pipelines from ingestion to warehousing.
• Own the platform architecture and ensure scalability and cost efficiency.
• Own the data modeling to support reporting and business needs.
• Ensure data trust through testing, lineage, and quality checks.

Skills

SQL

Python

ETL

Data modeling

Data visualization

Stakeholder communication

Tools

BigQuery

Snowflake

Redshift

dbt

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.

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)