Senior Data Engineer

About the role

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Senior Data Engineer

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

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.

What you will do:

- 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

Requirements:

- 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