Xometry
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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.
Overview 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.
Responsibilities
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.
Qualifications
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.
Employment details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Software Development
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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.
Overview 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.
Responsibilities
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.
Qualifications
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.
Employment details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Software Development
Referrals increase your chances of interviewing at Xometry by 2x
Get notified about new Data Engineer jobs in
Denver, CO .
Denver, CO $104,650 - $189,175 2 weeks ago
Greenwood Village, CO $145,000 - $165,000 2 weeks ago
Denver, CO $111,000 - $127,000 10 hours ago
Denver, CO $120,000 - $140,000 1 month ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr