About The Company
Xometry (NASDAQ: XMTR) is a leading digital manufacturing marketplace that connects innovative ideas with manufacturing capabilities worldwide. By leveraging its advanced online platform, Xometry provides critical resources to manufacturers, enabling them to expand their operations and reach new markets. Simultaneously, it offers Fortune 1000 companies and other buyers seamless access to a vast network of manufacturing partners, facilitating efficient sourcing of custom parts and components. Xometry’s commitment to innovation and quality positions it as a pivotal player in transforming how manufacturing services are delivered in today’s rapidly evolving industrial landscape.
About The Role
We are seeking a highly skilled Staff Data Engineer to join our Data Platform team. This senior individual contributor role demands a broad technical scope and a significant organizational impact. The successful candidate will be responsible for defining data architecture strategies, designing scalable data pipelines, and establishing best practices for data systems operation. A key focus will be owning the data architecture behind strategic initiatives such as the DFM AI + IQE integration with our partner ecosystem. This involves building and maintaining the digital thread that connects Xometry’s platform with partner systems like Solid Edge, NX, Designcenter, and Teamcenter, ensuring real-time data flow for quotes, manufacturability signals, and pricing feedback. The role offers an exciting opportunity to influence core data infrastructure, drive innovation, and collaborate across multiple teams to enable high-quality, fast-paced decision-making processes that are central to our business growth and technological advancement.
Qualifications
- Bachelor’s degree in a STEM field or equivalent experience
- Minimum of 5 years of experience in data engineering or related roles
- Deep expertise with cloud data warehouses, preferably Snowflake, including optimization and performance tuning
- Proficiency in SQL and Python; ability to learn additional languages as needed
- Hands-on experience designing and optimizing data pipelines, architectures, and datasets using tools like dbt, Airbyte, Airflow, or similar
- Strong understanding of enterprise data architecture, including integrations across multiple systems and domains
- Knowledge of queueing, batch, and stream processing technologies such as Kafka, Spark, or Kinesis
- Experience with scalable data stores like Apache Iceberg
- Proficiency in building database-heavy services and APIs with a focus on testability and maintainability
- Solid understanding of CI/CD principles, automated testing, schema evolution, and contract testing
- Experience with AWS cloud infrastructure and native data services
- Ability to operate independently, evaluate ambiguous problems, and communicate effectively at all organizational levels
- Enterprise or partner system integration experience, especially with PLM, ERP, or SaaS platforms; familiarity with Teamcenter or similar PLM systems is a plus
- Familiarity with data visualization tools such as Looker or Streamlit
- Experience with data governance, data quality frameworks, and observability tools
- Exposure to lakehouse or data mesh architectural patterns
- Knowledge of infrastructure as code frameworks like Terraform or CloudFormation
- Experience with event-driven architecture, CDC pipelines, and low-latency operational data flows
- Interest or experience in manufacturing, supply chain, or marketplace environments is advantageous but not mandatory
Responsibilities
- Lead the design and implementation of enterprise-scale data architecture and engineering solutions across multiple systems and domains
- Own the partner integration data plane, including architecting bidirectional pipelines and data models for parts, BOMs, quotes, and manufacturability signals
- Develop scalable batch and streaming data pipelines to handle high-volume, real-time data flows
- Manage the full lifecycle of data engineering tasks - from data acquisition and transformation to delivery, observability, and performance monitoring
- Define and enforce best practices for data modeling, CI/CD, testing, and schema evolution, especially for partner boundary crossings
- Address complex cross-domain technical challenges by evaluating variables and delivering solutions aligned with business and technical goals
- Create multi-quarter technical roadmaps translating strategic priorities into actionable plans with clear timelines
- Collaborate with engineering, product, analytics, and partner teams to develop robust technical solutions based on business requirements
- Mentor other engineers through design and code reviews, fostering team growth and technical excellence
- Stay current with evolving data engineering tools, platforms, and architectural patterns, and recommend adoption strategies
Benefits
- Competitive annual salary ranging from $180,000 to $200,000, supplemented by performance-based bonuses
- Comprehensive health benefits including medical, dental, and vision insurance
- Retirement plan with 401(k) match
- Generous paid time off including vacation, sick leave, holidays, and parental leave
- Life and disability insurance coverage
- Employee assistance programs and wellbeing resources
- Opportunities for professional development and career growth within a dynamic, innovative environment
Equal Opportunity
Xometry is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected characteristic. We ensure a fair and respectful workplace where everyone can thrive.
