Staff Data Engineer

Work on Xometry’s Data Platform team to build enterprise data architecture and scalable batch and streaming pipelines, with a key focus on low-latency partner integration for DFM AI + IQE.

Responsibilities

• Design and drive implementation of enterprise-scale data architecture across multiple systems and domains using deep technical expertise
• Own the partner integration data plane for embedded DFM AI + IQE between Xometry and partner Teamcenter and Designcenter
• Architect and build bidirectional pipelines and a joint data model covering parts / BOMs / quotes / manufacturability signals
• Deliver a low-latency signal path that sends DFM and pricing feedback back into the designer environment
• Define and maintain governance, lineage, and audit posture for public-marketplace partner integrations
• Architect and optimize reliable batch and streaming pipelines, data models, and platforms for Xometry’s high-volume, complex data
• Take end-to-end accountability from data acquisition and transformation through delivery, observability, and performance
• Set standards for data modeling, CI/CD, testing, and code quality across data engineering
• Enforce contract-testing and schema-evolution discipline for data crossing a partner boundary
• Resolve ambiguous, cross-domain technical problems by evaluating variable factors and aligning outcomes with business and technical objectives
• Translate multi-quarter strategy into technical roadmaps, defining methods and timelines independently
• Collaborate with engineers, product managers, data scientists, business stakeholders, and partner engineering teams to deliver robust solutions
• Mentor and elevate team capability through design reviews, code reviews, and technical mentorship
• Continuously evaluate and adopt tooling and architectural patterns across the data engineering ecosystem

Requirements

• Bachelor’s degree in a STEM field (or equivalent experience) plus at least 5 years in a data engineering role with demonstrated ownership of complex, large-scale systems
• Deep expertise with cloud data warehouses, Snowflake strongly preferred, including optimization, best practices, and performance tuning
• Expert-level SQL and strong Python; ability to pick up additional languages as needed
• Hands-on experience building and optimizing pipelines, architectures, and datasets using modern tooling such as dbt, Airbyte, Airflow (or similar)
• Demonstrated planning and implementation of enterprise data architecture across multiple systems and domains, including cross-organizational or partner integrations
• Working knowledge of queueing and batch and stream processing such as Kafka, Spark, Kinesis, and highly scalable data stores such as Apache Iceberg
• Experience writing database-heavy services or APIs and designing for testability and maintainability
• Strong grasp of CI/CD plus automated testing, contract testing, and schema-evolution discipline in data pipelines
• Strong understanding 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, including 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) or comparable PLM exposure is a strong plus
• Familiarity with visualization tools such as Looker and Streamlit
• Experience with data governance, data quality frameworks, and observability tooling, especially for data flowing across partner or tenant boundaries
• Exposure to modern lakehouse or data mesh architectural patterns
• Experience with infrastructure as code (IaC) such as Terraform or CloudFormation
• Experience with event-driven architecture, CDC pipelines, and low-latency operational data flows that feed back into a customer-facing UI
• Manufacturing, supply chain, or marketplace experience is a plus; curiosity and drive matter more

Location

• Denver, CO (hybrid)

Compensation

• 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