Staff Data Engineer
Waltham, MA - USA
Job Summary
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. Xometrys 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 Xometrys 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 Xometrys 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 ofXometrys embedded DFM AI IQE integration with partner Teamcenter andDesigncenter. 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 designers environment and the governance lineage andaudit posture required for a public-marketplace partner integration.
- Build for scale Architect and optimize reliable batch and streaming data pipelinesdata models and platforms that handle Xometrys 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 fromacquisition and transformation through to delivery observability and ongoingperformance.
- 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 challengesevaluate variable factors and deliver solutions that meet both business and technicalobjectives.
- 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 scientistsbusiness 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.
Qualifications
- Bachelors 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 strongplus.
- 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. TerraformCloudFormation).
- Experience with event-driven architecture CDC pipelines and low-latency operationaldata flows that feed back into a customer-facing UI.
- Experience in manufacturing supply chain or marketplace environments is a plus butcuriosity and drive matter more.
The estimated base salary range for new hires into this role is $180000-$200000.00 annually commission 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
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.
Required Experience:
Staff IC
About Company
Xometry is a leader in high-precision production part and prototyping manufacturing on demand. Get instant quotes on CNC machining, 3D printing, sheet metal fabrication, laser cutting, and more.