Staff Data Engineer

Xometry
Boston, Denver
Workplace: HybridFull timeUSD 180,000 - 200,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsEducation: bachelorsSkills: ["Independent problem-solving","Effective communication","Mentorship","Leadership","Technical mentorship"]

Own data architecture and integration engineering for Xometry’s Data Platform, leading scalable batch and streaming pipelines that connect systems and domains. Build the partner integration data plane for DFM AI + IQE with Teamcenter/Designcenter, including bidirectional pipelines, shared part/BOM/quote models, governance, and observability. Set standards for data modeling, CI/CD, testing, contract testing, and schema evolution while partnering with engineering, product, analytics, and machine learning to enable fast, high-quality business 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 data architecture and integration engineering for Xometry’s Data Platform, leading scalable batch and streaming pipelines that connect systems and domains. Build the partner integration data plane for DFM AI + IQE with Teamcenter/Designcenter, including bidirectional pipelines, shared part/BOM/quote models, governance, and observability. Set standards for data modeling, CI/CD, testing, contract testing, and schema evolution while partnering with engineering, product, analytics, and machine learning to enable fast, high-quality business decisions.
Location: Boston, Denver
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design and implement enterprise-scale data architecture and engineering solutions across multiple systems and domains.
  • •Architect and build the embedded DFM AI + IQE partner integration data plane, including bidirectional pipelines, shared data models, and low-latency feedback paths.
  • •Architect and optimize reliable batch and streaming pipelines, data models, and platforms for high-volume, real-time, event-driven flows.
  • •Own the end-to-end data engineering lifecycle from acquisition and transformation through delivery, observability, and ongoing performance.
  • •Define and enforce best practices for data modeling, CI/CD, testing, code quality, and contract testing/schema evolution across the data engineering function.

Pay and Benefits

Salary: USD 180,000 - 200,000 annually
Perks:401kHealth InsuranceDentalVisionLife InsuranceDisability InsurancePaid LeaveParental LeaveEap

Key Requirements

  • •Bachelor’s degree in a STEM field (or equivalent) plus at least 5 years in data engineering with ownership of 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, plus experience building and optimizing pipelines and data sets using tools like dbt, Airbyte, or Airflow.
  • •Hands-on experience with batch/stream processing and scalable data stores such as Kafka, Spark, Kinesis, and Apache Iceberg.
  • •Experience with CI/CD and automated testing, including contract testing and schema evolution for data integrations across systems or partners.
Experience:5+ yearsManufacturingSupply chainMarketplacePartner integrationsEnterprise SaaSLakehouseData mesh
Education:Bachelor's
Skills:Independent problem-solvingEffective communicationMentorshipLeadershipTechnical mentorship
Languages:English
Tech Stack:SnowflakeSQLPythonDbtAirbyteAirflowKafkaSparkKinesisApache IcebergAWSLookerStreamlitTerraformCloudFormation

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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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