Job description

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 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 The estimated base salary range for new hires into this role is $119,000-$155,000.00 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. 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.

Requirements

Must-haves

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
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
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
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.

Nice-to-haves

Expert in ETL, data modeling and version control, dbt and GitHub preferred
Experience with Business Intelligence tools, Looker preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlci/cdawspythonjavascript

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off