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Job Description
Xometry is seeking a Staff Data Engineer to lead the design and evolution of its data infrastructure. The ideal candidate will architect scalable, high-performance systems that enable analyzing site traffic, telemetry, search performance, and advertising effectiveness. This role involves collaborating with software engineers and data scientists to build production-grade analytic data products and mentor other data engineers.
What This Role Involves:
- Designing and implementing end-to-end data architecture for real-time and streaming pipelines.
- Capturing and processing website telemetry data using tools like Segment.
- Optimizing compute performance and cost in Snowflake.
- Leveraging technologies like ClickHouse for efficient storage and querying.
- Building and managing orchestration workflows with Airflow.
- Designing data models to support search algorithm performance analysis.
- Working with software engineers to define data product requirements.
- Mentoring junior and mid-level data engineers.
Requirements:
- 10+ years of experience in data engineering and architecture.
- Hands-on experience with streaming data technologies.
- Proficiency with Airflow.
- Knowledge of Snowflake and ClickHouse.
- Familiarity with customer data platforms for telemetry data capture (Segment preferred).
- Knowledge of GraphQL APIs.
- Solid understanding of AWS services.
- Strong skills in SQL, Python and dbt; experience with Spark or Scala, a plus.
What Xometry Offers:
- Opportunity to work on real-time systems and scalable infrastructure.
- Chance to mentor junior and mid-level data engineers.
