Senior Data Engineer

Summary

Join Xometry's data team as a skilled Data Engineer to build and maintain robust data pipelines, transforming data into actionable insights. You will partner with software engineering to build new product features, design data architecture, and implement data modeling best practices. Your work will directly impact product, marketing, sales, and user engagement. Responsibilities include designing, building, and deploying data pipelines, ensuring data quality, supporting data governance, and communicating technical topics to stakeholders. This role requires 5+ years of experience in data engineering and a Bachelor's degree in a quantitative field.

Requirements

• 5+ years of experience in data engineering and data architecture
• Bachelor’s in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering)
• Experience working with Software Engineering and DevOps as part of the Product development lifecycle
• Demonstrated experience building data models for capturing software application telemetry and website traffic for Product usage & site visitor analytics
• Demonstrated experience building data models for capturing billing and subscriber transactions to support revenue and retention analytics
• Expertise in SQL, dbt, Python, batch & streaming processing, change data capture, orchestration, scheduling, and data migration best practices - experience with Postgres, Snowflake, Airflow, Estuary, and Dagster preferred
• Hands-on expertise designing data quality & pipeline observation, monitoring, and alerting best practices

Responsibilities

• Perform product data engineering in partnership with software engineering to build new product features and enhancements
• Build product and analytic data architecture necessary to analyze and inform the product roadmap and strategy
• Design, build, and deploy data pipelines from multiple source systems; refactor existing pipelines for performance
• Implement data modeling best practices in DBT
• Document data requirements, data workflows, automate pipelines, and establish observability and monitoring to ensure availability of analytic & product data
• Support data governance and master data management efforts across the organization
• Clearly communicate technical topics and data solutions to non-technical stakeholders to achieve buy-in

Preferred Qualifications

• Knowledge of or experience with advertising/adtech business models preferred
• Ability to integrate analytic data pipelines into Business Intelligence tools - Looker preferred
• Knowledge of or experience with GitHub for code management

Benefits

#LI-Remote