You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Xometry

Senior Data Engineer

  • Hybrid
  • 6+ years

Salary

$119,000 - 155,000/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

The company runs a digital marketplace that connects people with product ideas to manufacturers who can build them, and it helps manufacturers grow while giving buyers at large companies access to manufacturing capacity worldwide.

The team is Marketplace Services. The role focuses on the core data pipelines and models that show how the business is performing, and on extending data modeling across every global entity.

The part of the business this role supports is growing quickly, and the work has a direct impact.

Responsibilities

  • Work closely with data scientists, ML engineers, and product teams to turn their needs into data solutions that scale and are easy to maintain.
  • Build, document, and upkeep reliable data pipelines using dbt, Dagster, Snowflake, Estuary, and Airbyte.
  • Ship and release features through software integration that supports DevOps and CI/CD pipelines.
  • Design, build, and run AWS-based data infrastructure, improving scale, performance, and cost efficiency as data volume grows.
  • Create frameworks and internal self-service tools that let the data team deliver results sooner.

Requirements

  • A bachelor's degree or relevant experience.
  • 5+ years as a software or data engineer in a fast-paced, technical, problem-solving setting.
  • Strong knowledge of Snowflake best practices, optimization, and use.
  • Expert-level skill in ETL, data modeling, and version control. dbt and GitHub experience is preferred.
  • Build data models that keep data accurate, consistent, and easy to understand for internal and external users.
  • Working knowledge of the AWS data ecosystem.
  • Experience with data extraction tools such as Estuary or Airbyte.
  • Experience with programming languages such as Python or JavaScript.
  • Experience with business intelligence tools. Looker experience is preferred.
  • Familiarity with data streaming technologies.
  • Proven experience with CI/CD tools.
  • Work with business teams, engineers, product managers, and other stakeholders to convert business needs into technical solutions.
  • Comfortable working at a fast pace and changing direction quickly.
  • Must work core aligned hours to US Eastern Time (GMT-5).

Conditions

Hybrid role, marked LI-Hybrid in the posting.

Estimated base salary is $119,000-$155,000.00 per year, plus bonus. Final pay depends on job-related skills, relevant experience, and location.

The company is an equal opportunity employer and considers all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

Benefits

  • 401(k) match.
  • Medical, dental, and vision insurance.
  • Life and disability insurance.
  • Generous paid time off, including vacation, sick leave, floating and fixed holidays, and maternity and bonding leave.
  • Employee assistance program and other wellbeing resources.
  • Additional benefits beyond those listed.

Where you’d work

Part of the week in the office

About the company

Xometry

Office in MA, United States

Also hiring in Los Angeles, United States, Denver, United States, KY, United States and 2 more places

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

Still hiring?

14 checks

1 red flag

How crowded?

7 checks

1 red flag

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • AWS
  • dbt
  • Looker
  • Snowflake
Seniority
Senior
Type
Full-time
Specialty
Data Engineering
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Seniority
Senior
Experience
5+ years
Tech stack
  • Python
  • AWS
  • dbt
  • Looker
  • Snowflake

Location

Work model
Hybrid
Region
United States
Office
  • MA, United States

Compensation

Salary
$119,000 - 155,000 / year
Pay period
Annual

Employment

Type
Full-time

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason