Xometry

1 month ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior, high-impact data engineering role focused on designing enterprise-scale data architectures and pipelines. Owns end-to-end data integration, especially the DFM AI + IQE integration with partner systems, builds scalable batch/streaming data paths, and sets high standards for data modeling, CI/CD, testing, and observability across cross-functional teams.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key 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, including bidirectional pipelines, joint data model for parts/BOMs/quotes/manufacturability signals, and governance and audit posture.
•Build for scale – Architect and optimize reliable batch and streaming data pipelines, data models, and platforms that handle high-volume data and real-time/event-driven flows for the partner integration.
•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 contract-testing and schema-evolution for cross-boundary data.

Pay and Benefits

Salary: USD 180,000 - 200,000 annually

Key Requirements

•Bachelor's 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.

Experience:5+ years

Education:Bachelor's

Skills:LeadershipCollaborationProblem-solvingCommunicationMentoring

Languages:English

Tech Stack:SnowflakeSQLPythonDbtAirbyteAirflowKafkaSparkKinesisApache IcebergLookerStreamlitTerraformCloudFormationAWS

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: 3.8

Website LinkedIn Glassdoor

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Xometry

1 month ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key 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, including bidirectional pipelines, joint data model for parts/BOMs/quotes/manufacturability signals, and governance and audit posture.
•Build for scale – Architect and optimize reliable batch and streaming data pipelines, data models, and platforms that handle high-volume data and real-time/event-driven flows for the partner integration.
•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 contract-testing and schema-evolution for cross-boundary data.

Pay and Benefits

Salary: USD 180,000 - 200,000 annually

Key Requirements

•Bachelor's 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.

Experience:5+ years

Education:Bachelor's

Skills:LeadershipCollaborationProblem-solvingCommunicationMentoring

Languages:English

Tech Stack:SnowflakeSQLPythonDbtAirbyteAirflowKafkaSparkKinesisApache IcebergLookerStreamlitTerraformCloudFormationAWS

Company Brief

Xometry

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: 3.8

Website LinkedIn Glassdoor