Staff Data Engineer

Xometry; Denver (CO); Hybrid; USD 180,000 - 200,000; Full time

Benefits offered by this job

401(k) match

Medical, dental and vision insurance

Life and disability insurance

Generous paid time off

Maternity and bonding leave

EAP and wellbeing resources

Job summary

Xometry is seeking a Staff Data Engineer in Denver to design and own scalable data architectures for enterprise systems. You will build bidirectional data pipelines for partner integrations, including Teamcenter and Designcenter, while defining the joint data model for parts, BOMs, quotes and manufacturability signals.

You will lead low-latency data paths, governance, and observability, and set standards for data modeling, CI/CD, testing, and schema evolution.

Qualifications

• Bachelor’s degree in STEM or equivalent experience with 5+ years in data engineering.
• Expert SQL and strong Python proficiency; ability to add languages as needed.
• Hands-on experience building and optimizing pipelines, architectures, and datasets with modern tooling (dbt, Airbyte, Airflow).
• Enterprise data architecture across multiple systems and domains, including partner integrations.
• Experience with cloud data warehouses (Snowflake preferred) and data governance/observability tooling.
• Experience with batch and streaming processing (Kafka, Spark, Kinesis) and data stores (Iceberg).

Responsibilities

• Design and drive enterprise data solutions with technical ownership across systems.
• Own partner integration data plane for embedded DFM AI + IQE integrations.
• Architect data pipelines for Teamcenter and Designcenter integrations.
• Define data models for parts, BOMs, quotes, and manufacturability signals.
• Deliver low-latency data paths and feedback to designer environments.
• Establish governance, lineage, and audit posture for partner data flows.
• Build scalable batch and streaming pipelines and platforms for high-volume data.
• Support real-time/event-driven flows critical to partner integrations.
• Mentor through reviews and set engineering standards for data modeling and CI/CD.
• Collaborate with cross-functional teams and external partner engineering groups.

Skills

SQL

Python

contract testing

data modeling

CI/CD

lookups

Education

Bachelor’s degree in STEM

Tools

Snowflake

dbt

Airbyte

Airflow

Kafka

Spark

Kinesis

Apache Iceberg

Looker

Streamlit

Terraform

CloudFormation

Teamcenter

Designcenter

BMIDE

Active Workspace APIs

Job description

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