Senior Data Engineer

Reposted Yesterday
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Buenos Aires, Ciudad Autónoma de Buenos Aires, ARG
In-Office
Senior level
Artificial Intelligence
The Role
Build and maintain scalable cloud data pipelines and models (AWS/Snowflake). Collaborate with data scientists, ML engineers, and product teams to deliver reliable ETL, CI/CD deployment, and self-service tooling. Scale data modeling across global entities and optimize data infrastructure for performance and cost.
Summary Generated by Built In

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.

How You’ll Contribute:

  • 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

What You'll Bring to Xometry:

  • 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         

#LI-Remote
#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.

Skills Required

  • Bachelor's degree or relevant experience
  • 5+ years prior experience as a software engineer or data engineer
  • Proficiency in cloud data warehouse best practices (Snowflake)
  • Expertise in ETL, data modeling, and version control
  • Experience with dbt
  • Experience with GitHub
  • Knowledge and understanding of AWS data ecosystem
  • Experience with data extraction tools (Estuary, Airbyte, etc.)
  • Experience with programming languages such as Python or JavaScript
  • Experience with Business Intelligence tools (Looker preferred)
  • Familiarity with data streaming technologies
  • Demonstrated experience with CI/CD tools and deployment processes
  • Ability to partner closely with business, engineers, and product managers
  • 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

Xometry Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xometry and has not been reviewed or approved by Xometry.

  • Healthcare Strength Core medical, dental, and vision coverage for employees and dependents is highlighted alongside mental‑health resources and an EAP. Feedback suggests many view the health plan as good or flexible, contributing positively to total rewards.
  • Retirement Support A 401(k) program and company‑paid life/STD/LTD are positioned as core financial protections. Feedback suggests retirement offerings are a consistent component of total compensation.
  • Leave & Time Off Breadth Flexible time off, paid holidays, volunteer time, and hybrid/remote options expand the time‑away and flexibility toolkit. Feedback suggests this breadth adds meaningful non‑cash value for many roles.

Xometry Insights

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The Company
HQ: North Bethesda, MD
381 Employees
Year Founded: 2013

What We Do

Xometry is the leading AI-enabled marketplace for on-demand manufacturing, transforming one of the largest industries in the world. With its proprietary technology, Xometry creates a marketplace that enables designers and engineers to rapidly source high-quality on-demand manufactured parts and assemblies. Xometry's innovative platform also empowers sellers of manufacturing services across the nation to grow their businesses. Xometry’s buyers range from self-funded startups to Fortune 100 companies.

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