Senior Data Engineer
North Bethesda, MD
- Pay
$119,000–155,000/year · BaseLocation-specific pay — pay source
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
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingBuild, document, and maintain data pipelines using dbt, Dagster, Snowflake, Estuary, and Airbyte
Design, build, and operate cloud-based AWS data infrastructure
Support deployment and release of functionality through CI/CD pipelines
Build internal frameworks and self-service tooling for the data team
Translate requirements from data scientists, ML engineers, and product teams into data solutions
From the employer’s posting
Build, document, and maintain robust data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte.
Design, build, and operate cloud-based (AWS) data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows
Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines
Build frameworks and internal self-service tooling that helps the data team deliver value faster
Close collaboration with data scientists, ML engineers, and product teams to translate requirements into scalable, maintainable data solutions
What you’ll bring
All qualificationsCore experience
- 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
- Knowledge and understanding of AWS data ecosystem
- Experience with data extraction tools (Estuary, Airbyte, etc.)
- Experience with programming language like Python, JavaScript
Preferred experience
- Experience with Business Intelligence tools, Looker preferred
Qualification wording
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
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
Education & alternatives
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
Tools in this posting
- JavaScript
- Python
- Airbyte
- AWS
- dbt
- Looker
- Snowflake
- Dagster
Source — Tool mentions in context
- Experience with data extraction tools (Estuary, Airbyte, etc.) - Experience with programming language like Python, JavaScript - Experience with Business Intelligence tools, Looker preferred
- 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
- Knowledge and understanding of AWS data ecosystem - Experience with data extraction tools (Estuary, Airbyte, etc.) - Experience with programming language like Python, JavaScript
- 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
- 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.)
- 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
- Experience with programming language like Python, JavaScript - Experience with Business Intelligence tools, Looker preferred - Familiarity with data streaming technologies
- 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 12, 2026 · 18 days ago
- Recorded sightings
- 28
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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 details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
North Bethesda, MD
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
- Work authorization
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.
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