Senior Data Engineer

Posted 15 Days Ago
Be an Early Applicant
2 Locations
Mid level
Artificial Intelligence
The Role
As a Senior Data Engineer at Xometry, you will collaborate closely with engineers and product managers to develop and optimize data pipelines and models, enabling actionable insights into business performance. You will maintain data pipelines and assist analytics teams while supporting CI/CD processes for software integration.
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.


What you will do:

  • Close collaboration with other engineers and product managers to become a valued member of an autonomous, cross-functional team
  • Build analytics models that utilize the data pipeline to provide actionable insights into key business performance metrics.
  • Develop data models for analytics and data scientist team members that assist them in building and optimizing data
  • Maintain data pipelines and perform any changes or alterations as requested.
  • Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines


Requirements:

  • Bachelor’s degree required, or relevant experience  
  • 3-5+ years of prior experience as a software engineer or data engineer in a fast-paced, technical, problem-solving environment
  • Cloud Data Warehouse experience - Snowflake
  • Expert in SQL
  • Expert in ETL, data modeling and version control, dbt and GitHub preferred
  • Data modeling best practices for transactional and analytical processing
  • Experience with data extraction tools (Fivetran, Airbyte, etc.)
  • Experience with event tracking software (Segment, Tealium, etc)
  • Experience with programming language like Python, JavaScript
  • Experience with Business Intelligence tools, Looker preferred
  • Ability to communicate effectively and influence others
  • 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

Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.

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.

Top Skills

JavaScript
Python
SQL
The Company
Bethesda, MD
381 Employees
On-site Workplace
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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