Xometry - Senior Data Engineer
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
Responsibilities
• 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
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