Xometry

StaffDataEngineer

$180–200k North Bethesda, Maryland, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Staff Data Engineer at Xometry. Skills: Data architecture, Data engineering, Cloud data warehouses, Data pipelines. Design enterprise-scale data architecture. Drive implementation of engineering solutions”

Industry & Context.

Problems you'll solve

Solve ambiguous problems; Navigate complex challenges; Evaluate variable factors

What They're Looking For.

Must Have

Bachelor's degree in STEM or equivalent experience, 5+ years data engineering experience, Demonstrated ownership of complex data systems, Expert-level SQL, Expert-level Python, Experience building data pipelines, Experience optimizing data pipelines, Experience building data architectures, Experience optimizing data architectures, Experience building data sets, Experience optimizing data sets, Experience planning enterprise data architecture, Experience implementing enterprise data architecture, Experience with CI/CD principles, Experience with automated testing, Experience with contract testing, Experience with schema-evolution discipline, Ability to operate independently, Ability to determine methods and procedures, Ability to communicate effectively at all levels

Nice to Have

Snowflake expertise, Picking up additional languages as needed, Experience with dbt, Experience with Airbyte, Experience with Airflow, Experience integrating with PLM, Experience integrating with ERP, Teamcenter experience, Data model experience, BMIDE experience, Active Workspace APIs experience, AWC integrations experience, Comparable PLM exposure, Familiarity with data visualization tools, Experience with data governance, Experience with data quality frameworks, Experience with observability tooling, Exposure to lakehouse architecture, Exposure to data mesh architecture, Experience with infrastructure as code, Experience with event-driven architecture, Experience with CDC pipelines, Experience with low-latency operational data flows, Experience in manufacturing environments, Experience in supply chain environments, Experience in marketplace environments

What You'll Do.

Design enterprise-scale data architecture

Drive implementation of engineering solutions

Own partner integration data plane

Architect data layer for integration

Build bidirectional pipelines

Build joint data model

Build low-latency signal path

Architect batch data pipelines

Optimize batch data pipelines

Architect streaming data pipelines

Optimize streaming data pipelines

Architect data models

Handle high-volume data

Handle real-time flows

Handle event-driven flows

Take end-to-end accountability

Provide observability

Define best practices

Enforce best practices

Define data modeling practices

Enforce data modeling practices

Define CI/CD practices

Enforce CI/CD practices

Define testing practices

Enforce testing practices

Define code quality practices

Enforce code quality practices

Define contract-testing discipline

Enforce contract-testing discipline

Define schema-evolution discipline

Enforce schema-evolution discipline

Solve ambiguous problems

Navigate cross-domain challenges

Evaluate variable factors

Deliver business solutions

Deliver technical solutions

Develop multi-quarter roadmaps

Translate strategic priorities

Create concrete technical plans

Partner with engineers

Partner with product managers

Partner with data scientists

Partner with business stakeholders

Partner with partner engineering teams

Translate requirements

Build robust technical solutions

Guide other engineers

Conduct design reviews

Provide technical mentorship

Raise team capability

Evaluate data engineering tools

Adopt data engineering platforms

Recommend architectural patterns

How You'll Work.

Team & Collaboration

Partner with engineering; Partner with product; Partner with analytics; Partner with machine learning; Partner with data scientists; Partner with business stakeholders; Partner with partner engineering teams

Communication Scope

Communicate effectively

Process & Methodology

Roadmap development

Full 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. 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. Responsibilities 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 / manu

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