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Staff Data Engineer

Xometry· Technology
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Waltham, MA$180k - $200kfull-timePosted 4mo ago

About the role

Senior individual contributor role focused on data architecture, scalable pipelines, and the data infrastructure enabling business decisions and real-time partner integrations, including the DFM AI + IQE integration with manufacturing partners.

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 / 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

Qualifications

  • Bachelor's degree in a STEM field (or equivalent experience) plus at least 5 years in data engineering with 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; ability to pick 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)
  • Experience planning and implementing enterprise data architecture across multiple systems and domains, including cross-boundary integrations
  • Working knowledge of queueing, batch and stream processing (e.g., Kafka, Spark, Kinesis) and 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, automated testing, contract testing, and schema-evolution in data pipelines
  • Strong grasp of AWS data ecosystem and cloud-native infrastructure
  • Ability to operate independently on new/ambiguous assignments and communicate effectively at all levels
  • Enterprise/partner integration experience with PLM/ERP or large enterprise SaaS; Teamcenter experience or comparable PLM exposure is a strong plus
  • Familiarity with data visualization tools (Looker, Streamlit)
  • Experience with data governance, data quality frameworks, and observability tooling across partner boundaries
  • Exposure to modern lakehouse or data mesh patterns
  • Experience with infrastructure as code (Terraform, CloudFormation)
  • Experience with event-driven architecture, CDC pipelines, and low-latency data flows that feed a customer-facing UI
  • Manufacturing/supply chain/marketplace domain experience is a plus

Skills

Required:SQLPythondbtAirflow / AirbyteSnowflakeCI/CDData governance / observability
Nice to have:Kubernetes / Cloud infrastructure

Benefits

  • 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 and wellbeing resources
Last updated Aug 19, 2026. Interested? Apply on the company site.

About Xometry

Where Big Ideas Are Built | Production Parts and Prototypes | Xometry

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.

CNC Machining3D PrintingSheet Metal FabricationLaser CuttingPrototypingInjection MoldingMetal Part ProductionHigh-Volume Metal Production
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