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Responsibilities
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 looking for an Analytics Engineer to contribute to the transformation layer and help maintain high standards for reporting at Xometry. You will sit at the intersection of Data Engineering and Data Analytics, transforming raw data into clean, well-modeled datasets. You will contribute to data modeling and architecture decisions, working closely with senior team members who will support your onboarding and growth. The team already has established processes and tools in place.
Location: fully remote
Contract: 1-year contract
Key Responsibilities
- Data Modeling: Design, develop, and maintain robust data models, with ownership of specific areas.
- 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: Contribute to version control, CI/CD practices, and data quality testing
- Documentation: Maintain a high-quality data dictionary to ensure everyone in the company speaks the same "data language."
Required Qualifications
- 2–4 years of experience in data analytics, analytics engineering, or data engineering.
- Strong expertise in writing complex, performant SQL for data transformation and analysis.
- Experience with dbt for data modeling.
- Working knowledge of Looker, including experience with LookML.
- Experience building and maintaining production-grade data models and transforming raw data into clean, actionable datasets.
- Ability to understand business metrics and translate stakeholder requirements into technical tasks.
- Experience working with stakeholders and communicating technical concepts to non-technical audiences.
- Comfortable working in a fast-paced environment and managing multiple priorities simultaneously.
- Must be able to work core hours aligned with EST (until 3:00 PM EST)
Nice to have Qualifications
- Experience working with cloud data warehouses such as Snowflake.
- Experience with version control (e.g., GitHub) and CI/CD workflows.
- Experience implementing data quality tests.
- Experience with other BI tools such as Tableau or Power BI.
Other
- Due to operational and infrastructure constraints, we are currently unable to hire candidates from the following countries or regions: Middle East (Akrotiri and Dhekelia, Bahrain, Cyprus, Egypt, Iran, Iraq, Israel, Jordan, Kuwait, Lebanon, Oman, Palestine, Qatar, Saudi Arabia, Syria, Turkey, United Arab Emirates, Yemen), Russia, Belarus, Ukraine, North Korea.
- Time zone: Partial overlap with EST working hours required (until 3:00 PM EST)
- Workload: Full-time
- English level: Minimum B2
This job post is closed.