Xometry
1001 - 5000 employees
Founded 2013
💰 $75M Series E on 2020-09
Manufacturing • Technology • Engineering
Xometry is a leading digital manufacturing marketplace, offering a comprehensive range of on-demand manufacturing and production solutions. Specializing in 3D printing, CNC machining, injection molding, and sheet metal fabrication, Xometry serves industries such as aerospace, automotive, medical, and electronics. The company provides instant quoting, DFM feedback, and quality assurance through its massive global supplier network, enabling clients to efficiently manage prototyping, high-volume production, and custom part manufacturing. Xometry emphasizes environmental sustainability with initiatives like carbon emission offsetting, and offers features such as the Xometry Instant Quoting Engine and Teamspace for streamlined project collaboration.
Senior Data Engineer
🕒 March 4
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Xometry
1001 - 5000 employees
Founded 2013
💰 $75M Series E on 2020-09
Manufacturing • Technology • Engineering
Xometry is a leading digital manufacturing marketplace, offering a comprehensive range of on-demand manufacturing and production solutions. Specializing in 3D printing, CNC machining, injection molding, and sheet metal fabrication, Xometry serves industries such as aerospace, automotive, medical, and electronics. The company provides instant quoting, DFM feedback, and quality assurance through its massive global supplier network, enabling clients to efficiently manage prototyping, high-volume production, and custom part manufacturing. Xometry emphasizes environmental sustainability with initiatives like carbon emission offsetting, and offers features such as the Xometry Instant Quoting Engine and Teamspace for streamlined project collaboration.
📋 Description
• Close collaboration with data scientists, ML engineers, and product teams to translate requirements into scalable, maintainable data solutions • Build, document, and maintain robust data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte. • Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines • Design, build, and operate cloud-based (AWS) data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows • Build frameworks and internal self-service tooling that helps the data team deliver value faster
🎯 Requirements
• Bachelor’s degree required, or relevant experience • 5+ years of prior experience as a software engineer or data engineer in a fast-paced, technical, problem-solving environment • Proficiency in cloud data warehouse (e.g., Snowflake) best practices, optimization and usage • Expert in ETL, data modeling and version control, dbt and GitHub preferred • Develop and implement robust data models that ensure data integrity, consistency, and understandability for both internal and external consumers • Knowledge and understanding of AWS data ecosystem • Experience with data extraction tools (Estuary, Airbyte, etc.) • Experience with programming language like Python, JavaScript • Experience with Business Intelligence tools, Looker preferred • Familiarity with data streaming technologies • Demonstrated experience with continuous integration/continuous deployment tools • Partner closely with business, engineers, product managers, and other stakeholders to translate business needs into technical solutions • Ability to work in a fast paced environment and shift gears quickly • Must be able to work core aligned hours to US Eastern Time / GMT-5
🏖️ Benefits
• Equal opportunity employer • Federal government form I-9 submission for work authorization in the U.S.
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