Staff Data Engineer

Xometry
Kentucky
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Mentorship","Independent problem-solving","Cross-functional collaboration","Setting best practices"]

Own enterprise data architecture and scalable pipelines for the Data Platform team, with a special focus on the DFM AI + IQE partner integration. Build and govern bidirectional, low-latency data flows and shared models connecting Xometry’s platform to partner PLM tools (Teamcenter, Designcenter, and others). Lead batch/stream pipeline design, observability, and quality practices, partnering across engineering, product, analytics, and ML to enable fast, high-quality decisions.

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FursaFursa
Xometry
Xometry
12 hours ago

Staff Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Own enterprise data architecture and scalable pipelines for the Data Platform team, with a special focus on the DFM AI + IQE partner integration. Build and govern bidirectional, low-latency data flows and shared models connecting Xometry’s platform to partner PLM tools (Teamcenter, Designcenter, and others). Lead batch/stream pipeline design, observability, and quality practices, partnering across engineering, product, analytics, and ML to enable fast, high-quality decisions.
Location: Kentucky
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design and drive enterprise-scale data architecture and engineering solutions across multiple systems and domains.
  • •Architect and build the embedded DFM AI + IQE integration data plane, including bidirectional pipelines, shared data models, low-latency feedback loops, and governance/lineage/audit requirements.
  • •Architect and optimize reliable batch and streaming pipelines, data models, and platforms for high-volume, real-time, event-driven partner integration flows.
  • •Own the end-to-end data engineering lifecycle from acquisition and transformation through delivery, observability, and ongoing performance.
  • •Set standards for data modeling, CI/CD, testing, code quality, and partner-safe disciplines like contract testing and schema evolution.

Pay and Benefits

Perks:401kHealth InsuranceDentalVisionLife InsuranceDisability InsurancePaid LeaveParental Leave

Key Requirements

  • •Bachelor’s degree in a STEM field (or equivalent experience) plus at least 5 years in a data engineering role with ownership of complex, large-scale data systems.
  • •Deep expertise with cloud data warehouses, with Snowflake strongly preferred, including optimization 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 datasets using modern tooling such as dbt, Airbyte, and Airflow.
  • •Experience planning and implementing enterprise data architecture across multiple systems/domains and partner/integration boundaries, including data governance, lineage, and audit posture.
Experience:5+ yearsSaaSPLMEnterprise integrationsData pipelinesLakehouseEvent-driven architectureStreamingManufacturing
Education:Bachelor's in STEM
Skills:CommunicationMentorshipIndependent problem-solvingCross-functional collaborationSetting best practices
Languages:English
Tech Stack:SnowflakeSQLPythonDbtAirbyteAirflowKafkaSparkKinesisApache IcebergAWSTerraformCloudFormationTeamcenterSolid EdgeNXDesigncenterLookerStreamlitPLM

Company Brief

Xometry
Operates an on-demand digital manufacturing marketplace connecting buyers with manufacturing partners for CNC machining, 3D printing, sheet metal, injection molding and other custom parts, leveraging instant quoting and supply chain services.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 100M to 250M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Rockville, United States
Founded: 2013
Glassdoor
Glassdoor: 3.8
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