Senior Data Engineer

Xometry
North Bethesda, MD
On-site

Who this role is best for

Geared toward data engineers comfortable with building scalable data pipelines and collaborating with cross-functional teams, this role is based in North Bethesda, MD, and emphasizes a fast-paced environment with a focus on cloud data infrastructure.

Best fit for

  • Candidates with 5+ years of data engineering experience and strong cloud data warehouse expertise
    — “5+ years of prior experience as a software engineer or data engineer in a fast-paced, technical, problem-solving environment”
  • Candidates with experience in creating internal self-service tooling for data teams
    — “Build frameworks and internal self-service tooling that helps the data team deliver value faster”

Things to consider

  • Must be available for core aligned hours to US Eastern Time / GMT-5
    — “Must be able to work core aligned hours to US Eastern Time / GMT-5”
  • The role requires a high level of collaboration across multiple teams and stakeholders
    — “Partner closely with business, engineers, product managers, and other stakeholders to translate business needs into technical solutions”

How to stand out

  • Highlight experience with dbt, Dagster, and Snowflake in your resume and interview responses
    — “Build, document, and maintain robust data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte.”
  • Demonstrate your ability to optimize cloud data infrastructure for performance and cost
    — “Design, build, and operate cloud-based (AWS) data infrastructure, optimizing for scale, performance, and cost efficiency”
  • Emphasize your work with deployment and CI/CD pipelines in your application materials
    — “Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • build and maintain robust data pipelines
  • design, build, and operate cloud-based data infrastructure
Typical background
5+ years of experience as a software engineer or data engineerproficiency in cloud data warehouse best practices

Skills & requirements

Required

Cloud Data WarehouseETLData ModelingVersion ControlAWS Data EcosystemContinuous Integration/continuous Deployment

Preferred

Data Streaming TechnologiesBusiness Intelligence Tools

Stack & domain

dbtDagsterSnowflakeEstuaryAirbytePythonJavaScriptLookerAWSData EngineeringCloud Infrastructure

About the role

Original posting from Xometry via Greenhouse

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.

Source: Xometry careers (Greenhouse)

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