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 manufacturers with buyers, including Fortune 1000 companies, and gives manufacturers tools to grow their business.

This role sits on the Marketplace Services team. You would maintain the core data pipelines and models that show how the business is performing, and extend data modeling across every global entity.

The work is in a fast-growing part of the business, and your output will be visible across it.

Responsibilities

  • Partner with data scientists, ML engineers and product teams to turn their needs into data solutions that scale and are easy to maintain.
  • Write, document and maintain reliable data pipelines using dbt, Dagster, Snowflake, Estuary and Airbyte.
  • Support devops by shipping software integrations and releases through CI/CD pipelines.
  • Design, build and run AWS-based data infrastructure, tuning it for scale, speed and cost as data volume grows.
  • Build frameworks and self-service internal tools that help the data team deliver results faster.

Requirements

  • A bachelor's degree, or relevant experience in its place.
  • 5+ years as a software engineer or data engineer in a fast-paced, technical setting focused on solving problems.
  • Working knowledge of cloud data warehouse practices, including optimization and usage, with Snowflake as an example.
  • Strong skills in ETL, data modeling and version control; dbt and GitHub experience is preferred.
  • Build data models that keep data accurate, consistent and clear for both internal and external users.
  • Understanding of the AWS data ecosystem.
  • Hands-on experience with data extraction tools such as Estuary and Airbyte.
  • Experience programming in languages such as Python or JavaScript.
  • Experience with business intelligence tools; Looker experience is preferred.
  • Familiarity with data streaming technologies.
  • Proven experience with continuous integration and continuous deployment tools.
  • Work closely with business staff, engineers, product managers and other stakeholders to turn business needs into technical solutions.
  • Comfortable working at a quick pace and changing direction fast.

Conditions

Hybrid work model.

You must be able to work core hours aligned with US Eastern Time (GMT-5).

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

Benefits

  • Expected base salary for new hires in this role is $119,000-$155,000.00 per year, plus bonus, depending on job-related skills, relevant experience and location.
  • 401(k) match, medical, dental and vision insurance, and 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, plus more.

Where you’d work

Part of the week in the office

About the company

Xometry

Office in MD, United States

Also hiring in Los Angeles, United States, MA, United States, Denver, 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
  • MD, 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