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Staff Data Engineer

Xometry

Boston (MA)

On-site

USD 145,000 - 240,000

Full time

8 days ago

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Job summary

Join a leading company as a Staff Data Engineer in Boston, where you'll drive the design of cutting-edge data infrastructure and collaborate with engineers and data scientists. If you have over a decade of experience and a passion for scalable systems, this opportunity offers you the chance to make a significant impact while mentoring your peers.

Qualifications

  • 10+ years of experience in data engineering and architecture.
  • Hands-on experience with streaming data technologies.
  • Strong skills in SQL, Python, and dbt.

Responsibilities

  • Design and implement end-to-end data architecture for analytics.
  • Mentor junior and mid-level data engineers.
  • Optimize performance and cost in data systems.

Skills

SQL
Python
Streaming Data Technologies
Data Engineering
Data Modeling

Tools

Airflow
Snowflake
ClickHouse
Kinesis
dbt

Job description

Join to apply for the Staff Data Engineer role at Xometry

Join to apply for the Staff Data Engineer role at Xometry

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

We are seeking a highly experienced and forward-thinking Staff Data Engineer to lead the design and evolution of our data infrastructure. In this senior-level position, you’ll architect scalable, high-performance systems that enable analyzing site traffic, telemetry, search performance, and advertising effectiveness. You will also collaborate closely with software engineers and data scientists to build production-grade analytic data products and mentor other data engineers.

What You’ll Do

  • Design and implement end-to-end data architecture for real-time and streaming pipelines to support analytics and data products.
  • Capture and process website telemetry data using tools like Segment and integrate with downstream systems for analysis.
  • Optimize compute performance and cost in Snowflake, including query tuning, resource scaling, and data modeling best practices for analytic and reporting data.
  • Leverage technologies like ClickHouse for fast, efficient storage and querying of large-scale log and event data for data products.
  • Build and manage orchestration workflows with Airflow and manage real-time data pipelines using Estuary, including change data capture and event streaming.
  • Design data models to support search algorithm performance analysis and analytics around advertising server outputs.
  • Work directly with software engineers and stakeholders to define data product requirements and deliver impactful solutions.
  • Mentor junior and mid-level data engineers, fostering best practices in code quality, testing, and architecture.

Requirements

  • 10+ years of experience in data engineering and architecture, with a focus on real-time systems and scalable infrastructure.
  • Hands-on experience with streaming data technologies (e.g., Kinesis) and real-time data integration platforms like Estuary.
  • Proficient with Airflow for scheduling and orchestrating complex workflows.
  • Knowledge of Snowflake and ClickHouse (or similar technologies) for database design and query optimization.
  • Familiarity with customer data platforms for telemetry data capture (Segment preferred).
  • Knowledge of GraphQL APIs in modern microservices environments.
  • Solid understanding of AWS services including S3, Lambda, EC2, IAM, and data-related services.
  • Strong skills in SQL, Python and dbt; experience with Spark or Scala, a plus.

Preferred Qualifications

  • Experience in ecommerce, ad tech, or content discovery/search platforms.
  • Familiarity with data governance, observability, and lineage tools.
  • Exposure to ML infrastructure or data science collaboration is a plus.

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Software Development

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