Xometry

On-demand custom manufacturing platform with supplies

Staff Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeLexington, KY, USANo salary listedHybrid

About the Job

Requirements

A bachelor's degree in a STEM field or equivalent experience, plus at least 5 years of experience in a data engineering-related role with demonstrated ownership of complex, large-scale data systems.
Deep expertise with cloud data warehouses, preferably Snowflake, including optimization, best practices, and performance tuning.
Expert-level SQL and strong Python proficiency, with the ability to learn additional languages as needed.
Hands-on experience building and optimizing data pipelines, architectures, and datasets using modern tooling such as dbt, Airbyte, or Airflow.
Experience planning and implementing enterprise data architecture across multiple systems and domains, including integrations crossing organizational or partner boundaries.
Working knowledge of queueing, batch processing, stream processing, and highly scalable data stores such as Kafka, Spark, Kinesis, and Apache Iceberg.
Experience writing database-heavy services or application programming interfaces and designing for testability and maintainability.
Deep understanding of continuous integration and continuous delivery principles, with experience in automated testing, contract testing, and schema-evolution discipline in data pipelines.
Strong knowledge of the Amazon Web Services data ecosystem and cloud-native infrastructure.
Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively at all organizational levels, including with external partner engineering teams.
Experience with data governance, data quality frameworks, and observability tooling, especially where data flows across partner or tenant boundaries.
Experience with event-driven architecture, change data capture pipelines, and low-latency operational data flows feeding a customer-facing user interface.
Experience with infrastructure as code frameworks such as Terraform or CloudFormation.

Responsibilities

Design and drive enterprise-scale data architecture and engineering solutions spanning multiple systems and domains.
Architect and build the data layer of Xometry's embedded DFM AI and IQE integration with Teamcenter and Designcenter.
Own bidirectional pipelines, the joint data model for parts, bills of materials, quotes, and manufacturability signals, the low-latency signal path for DFM and pricing feedback, and the required governance, lineage, and audit posture.
Architect and optimize reliable batch and streaming data pipelines, data models, and platforms for complex, high-volume data and real-time, event-driven partner flows.
Take end-to-end accountability for data engineering work from acquisition and transformation through delivery, observability, and ongoing performance.
Define and enforce best practices for data modeling, continuous integration and continuous delivery, testing, and code quality, including contract testing and schema evolution across partner boundaries.
Navigate complex, cross-domain technical challenges and deliver solutions meeting business and technical objectives.
Translate strategic priorities into multi-quarter technical roadmaps and concrete technical plans.
Partner with engineers, product managers, data scientists, business stakeholders, and partner engineering teams to translate requirements into robust technical solutions.
Guide engineers through design reviews, code reviews, and technical mentorship.
Evaluate data engineering tools, platforms, and architectural patterns and make informed recommendations.

Desired Qualifications

Snowflake experience is strongly preferred.
Experience integrating with product lifecycle management, enterprise resource planning, or large enterprise software-as-a-service systems.
Teamcenter experience involving its data model, BMIDE, Active Workspace APIs, or Active Workspace integrations, or comparable product lifecycle management exposure.
Familiarity with data visualization tools such as Looker or Streamlit.
Exposure to modern lakehouse or data mesh architectural patterns.
Experience in manufacturing, supply chain, or marketplace environments.

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.

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data architecture decisions, lead the design of scalable pipelines and platforms, and set the engineering bar for how we build and operate our data systems. You will partner closely with engineering, product, analytics, and machine learning teams to ensure our data infrastructure enables the business to move fast and make high-quality decisions. Everything you build will matter. A defining piece of this role is owning the data architecture behind one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration with our partner. You will be the data engineering lead for the digital thread that connects Xometry's platform to the partner ecosystem — Solid Edge, NX, Designcenter, and Teamcenter — building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. The data plane you design is what makes the "science fiction speed" digital thread from ideation to delivery actually work.

How You’ll Contribute:

Lead with technical depth – Design and drive the implementation of enterprise-scale data architecture and engineering solutions that span multiple systems and domains
Own the partner integration data plane – Architect and build the data layer of Xometry's embedded DFM AI + IQE integration with partner Teamcenter and Designcenter. Own the bidirectional pipelines, the joint data model for parts / BOMs / quotes / manufacturability signals, the low-latency signal path that delivers DFM and pricing feedback back into the designer's environment, and the governance, lineage, and audit posture required for a public-marketplace partner integration
Build for scale – Architect and optimize reliable batch and streaming data pipelines, data models, and platforms that handle Xometry's complex, high-volume data, including the real-time and event-driven flows that the partner integration depends on
Own the full lifecycle – Take end-to-end accountability for data engineering work from acquisition and transformation through to delivery, observability, and ongoing performance
Set the standard – Define and enforce best practices for data modeling, CI/CD, testing, and code quality across the data engineering function, including the contract-testing and schema-evolution discipline required when data crosses a partner boundary
Solve ambiguous problems – Navigate complex, cross-domain technical challenges, evaluate variable factors, and deliver solutions that meet both business and technical objectives
Develop multi-quarter roadmaps – Translate strategic priorities into concrete technical plans, working independently to determine methods and timelines
Collaborate broadly – Partner with engineers, product managers, data scientists, business stakeholders, and partner partner engineering teams to translate requirements into robust technical solutions
Mentor and elevate – Guide other engineers through design reviews, code reviews, and technical mentorship, raising the overall capability of the team
Evaluate and adopt – Stay current with the data engineering ecosystem and make informed recommendations on tools, platforms, and architectural patterns

What You'll Bring to Xometry:

Bachelor's degree in a STEM field (or equivalent experience) plus at least 5 years of experience in a data engineering related role, with demonstrated ownership of complex, large-scale data systems
Deep expertise with cloud data warehouses – Snowflake strongly preferred – including optimization, best practices, and performance tuning
Expert-level SQL and strong Python proficiency; comfort picking up additional languages as needed
Hands-on experience building and optimizing data pipelines, architectures, and data sets using modern tooling (dbt, Airbyte, Airflow, or similar)
Demonstrated experience planning and implementing enterprise data architecture across multiple systems and domains, including integrations that cross organizational or partner boundaries
Working knowledge of queueing, batch and stream processing (e.g., Kafka, Spark, Kinesis), and highly scalable data stores (e.g., Apache Iceberg)
Experience writing database-heavy services or APIs and designing for testability and maintainability
Deep understanding of CI/CD principles and demonstrated experience with automated testing, contract testing, and schema-evolution discipline in data pipelines
Strong grasp of the AWS data ecosystem and cloud-native infrastructure
Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively at all levels of the organization — including with external partner engineering teams
Enterprise / partner integration experience – Prior work integrating with PLM, ERP, or large enterprise SaaS systems; partner Teamcenter experience (data model, BMIDE, Active Workspace APIs, AWC integrations) or comparable PLM exposure is a strong plus
Familiarity with data visualization tools (e.g., Looker, Streamlit)
Experience with data governance, data quality frameworks, and observability tooling — especially in contexts where data flows across partner or tenant boundaries
Exposure to modern lakehouse or data mesh architectural patterns
Experience with infrastructure as code (IaC) frameworks (e.g., Terraform, CloudFormation)
Experience with event-driven architecture, CDC pipelines, and low-latency operational data flows that feed back into a customer-facing UI
Experience in manufacturing, supply chain, or marketplace environments is a plus — but curiosity and drive matter more

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

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.

About the Company

Xometry

On-demand custom manufacturing platform with supplies

Xometry operates an online marketplace that connects customers with a network of manufacturers for on-demand production services. Customers upload design files and receive instant quotes for manufacturing processes such as 3D printing, CNC machining, injection molding, and sheet metal fabrication. The company leverages its broad partner network to offer parts quickly and at competitive prices, with no minimum order requirements. In addition to manufacturing services, Xometry sells industrial supplies—raw materials, tooling, and MRO products—through its Supplies Flex program, which lets customers lock in material pricing and pay in installments. The business earns revenue from transaction fees on manufacturing work and direct sales of supplies. The goal is to provide reliable, fast access to custom parts and materials for small businesses, large companies, and individual entrepreneurs by offering a simple, transparent marketplace and flexible pricing options.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: North Bethesda, MD
Founded: 2013

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