Staff Data Engineer

Staff Data Engineer role on Xometry’s Data Platform team, focused on building enterprise data architecture and scalable batch and streaming pipelines with broad technical impact.

Responsibilities

• Design and drive enterprise solutions with deep technical ownership across multiple systems and domains
• Own the partner integration data plane for embedded DFM AI + IQE integration between Xometry and partner ecosystems
• Architect and build bidirectional data pipelines for partner Teamcenter and Designcenter integrations
• Define and maintain the joint data model for parts, BOMs, quotes, and manufacturability signals
• Deliver a low-latency signal path that sends DFM and pricing feedback back into the designer’s environment
• Establish governance, lineage, and audit posture for public-marketplace partner integration
• Build for scale by architecting and optimizing reliable batch and streaming pipelines, models, and platforms for high-volume data
• Support real-time and event-driven flows that the partner integration depends on
• Take end-to-end accountability from acquisition and transformation through delivery, observability, and ongoing performance
• Set engineering standards for data modeling, CI/CD, testing, and code quality across the data engineering function
• Enforce contract-testing and schema-evolution discipline when data crosses partner boundaries
• Handle ambiguous, cross-domain problems by evaluating variable factors and aligning solutions with business and technical objectives
• Translate multi-quarter strategic priorities into technical roadmaps while determining methods and timelines independently
• Collaborate with engineers, product managers, data scientists, business stakeholders, and external partner engineering teams
• Mentor through design reviews, code reviews, and technical mentorship to elevate team capability
• Evaluate and adopt tools and architectural patterns by staying current with the data engineering ecosystem

Requirements

• Bachelor’s degree in a STEM field (or equivalent experience) plus 5+ years in a data engineering related role with demonstrated ownership of complex, large-scale data systems
• Deep expertise with cloud data warehouses, with Snowflake strongly preferred (optimization, best practices, performance tuning)
• Expert SQL and strong Python proficiency; ability to add languages as needed
• Hands-on experience building and optimizing pipelines, architectures, and datasets using modern tooling such as dbt, Airbyte, Airflow, or similar
• Enterprise data architecture experience across multiple systems and domains, including integrations across organizational and partner boundaries
• Working knowledge of queueing, batch and stream processing (Kafka, Spark, Kinesis) and scalable data stores (Apache Iceberg)
• Experience writing database-heavy services or APIs and designing for testability and maintainability
• Strong CI/CD fundamentals with automated testing, contract testing, and schema-evolution discipline
• 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 across the organization and with external partner engineering teams
• Enterprise / partner integration experience integrating with PLM, ERP, or large enterprise SaaS systems; Teamcenter experience (data model, BMIDE, Active Workspace APIs, AWC integrations) is a strong plus
• Familiarity with data visualization tools such as Looker and Streamlit
• Experience with data governance, data quality frameworks, and observability tooling, especially when data flows across partner or tenant boundaries
• Exposure to modern lakehouse or data mesh architectural patterns
• Experience with infrastructure as code (Terraform, CloudFormation)
• Experience with event-driven architecture, CDC pipelines, and low-latency operational data flows feeding into a customer-facing UI
• Manufacturing, supply chain, or marketplace experience is a plus; curiosity and drive matter more

Location and Salary

• Location: Denver, CO (hybrid)
• Salary: USD 180,000 - 200,000 per year

Technologies

• Snowflake
• SQL
• Python
• dbt
• Airbyte
• Airflow
• Kafka
• Spark
• Kinesis
• Apache Iceberg
• AWS
• Looker
• Streamlit
• Terraform
• CloudFormation
• Teamcenter
• Designcenter
• Solid Edge
• NX
• BMIDE
• Active Workspace APIs
• AWS integrations
• CDC pipelines
• Iceberg

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 other wellbeing resources