Analytics Engineer II

Job summary

Xom*** (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. Xom***'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.

Benefits

Qualifications

• 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".
• 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
• into technical tasks.
• Ability to communicate technical concepts to non-technical stakeholders clearly.
• Comfortable working in a fast-paced environment and managing multiple priorities simultaneously.

Responsibilities

• You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into clean, well-modeled datasets that empower our entire organization to make better decisions.
• As a senior member of the team, you won't just be writing SQL; you'll be defining our data architecture, working with data analysts and data engineers.
• Data Modeling: Design, develop, and maintain robust data models (using dbt) that serve 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

Degrees

Work schedule

Industry

Contract length