> Markdown version of [/jobs/ext/4207670-data-engineer](https://www.wearedevelopers.com/jobs/ext/4207670-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer

- **Company:** DIGI DIGI, LLC
- **Location:** Durham, NC, United States
- **Experience:** Expert
- **Salary:** $119,000.0 - $155,000.0
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, JavaScript (Programming Language), Airflow, Amazon Web Services, Cloud Computing, Continuous Delivery, Continuous Integration, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Mining, Dataspaces, Data Systems, DevOps, Github, Python (Programming Language), Data Streaming, Systems Integration, Snowflake, Core Data, Marketplace, Looker Analytics, Software Version Control, Data Pipelines, Programming Languages
- **Published:** October 13, 2026
- **Apply:** https://startup.jobs/senior-data-engineer-xometry-2-10421544

## About the Role

We are looking to add a Senior Data Engineer to our Marketplace Services team. The ideal candidate will have a passion for building and maintaining Xometry's core data pipelines and models used to understand key business performance. Additionally, this person will help scale data modeling across all global entities. You will play a crucial role in a rapidly growing part of the Xometry business, and everything you do will matter., * Bachelor's degree required, or relevant experience

 * 5+ years of prior experience as a software engineer or data engineer in a fast-paced, technical, problem-solving environment
 * Proficiency in cloud data warehouse (e.g., Snowflake) best practices, optimization and usage
 * Expert in ETL, data modeling and version control, dbt and GitHub preferred
 * Develop and implement robust data models that ensure data integrity, consistency, and understandability for both internal and external consumers
 * Knowledge and understanding of AWS data ecosystem
 * Experience with data extraction tools (Estuary, Airbyte, etc.)
 * Experience with programming language like Python, JavaScript
 * Experience with Business Intelligence tools, Looker preferred
 * Familiarity with data streaming technologies
 * Demonstrated experience with continuous integration/continuous deployment tools
 * Partner closely with business, engineers, product managers, and other stakeholders to translate business needs into technical solutions
 * Ability to work in a fast paced environment and shift gears quickly
 * Must be able to work core aligned hours to US Eastern Time / GMT-5, For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

## Description

* Close collaboration with data scientists, ML engineers, and product teams to translate requirements into scalable, maintainable data solutions
 * Build, document, and maintain robust data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte.
 * Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines
 * Design, build, and operate cloud-based (AWS) data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows
 * Build frameworks and internal self-service tooling that helps the data team deliver value faster