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# Analytics Engineer II

- **Company:** Xometry
- **Location:** Waltham, MA, United States
- **Experience:** Experienced
- **Salary:** $76,000.0 - $86,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Unit Testing, Cloud Database, Software Quality, Continuous Integration, Data Architecture, Data Dictionary, Information Engineering, Data Transformation, Data Warehousing, Github, Query Optimization, Power BI, SQL Databases, Tableau (Software), Snowflake, Data Analytics, Looker Analytics, Software Version Control
- **Published:** July 3, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17477311?backUrl=%2Fcareer%2F17477311%2FAnalytics-Engineer-Ii-Massachusetts-Waltham

## About the Role

* 2-4 years of experience within data analytics, analytics engineering, or data engineering.
 * Proven track record of building and maintaining production-grade data models and transforming raw data into clean, actionable datasets.
 * Proficiency in writing complex, performant SQL for data transformation and analysis.
 * Practical experience with dbt for modeling and GitHub for version control.
 * Experience working within cloud data warehouses such as Snowflake.
 * Ability to build and maintain dashboards in tools like Looker, Tableau, or Power BI.
 * Experience implementing data quality tests and participating in CI/CD workflows.
 * Strong ability to understand business metrics and translate stakeholder requirements intotechnical tasks.
 * Ability to communicate technical concepts to non-technical stakeholders clearly.
 * Comfortable working in a fast-paced environment and managing multiple priorities simultaneously.
 * Must be able to work core aligned hours to US Eastern Time / GMT-5.

## Description

* Data Modeling: Design, develop, and maintain robust data models (using dbt) thatserve as the foundation for all company reporting. Solid understanding of semantic modeling and multi-domain data architecture.
 * Pipeline Excellence: Partner with Data Engineers to optimize ingestion and ensure the reliability of our data warehouse and query optimization.
 * Business Partnership: Work with data analysts and stakeholders across the organization to translate complex business requirements into technical specifications.
 * Code Quality: Lead the charge on version control, CI/CD patterns, and comprehensive testing (data quality and unit tests).
 * Documentation: Maintain a high-quality data dictionary to ensure everyone in the company speaks the same "data language".


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