Senior Analytics Engineer

Steno is a rapidly growing company revolutionizing the court reporting industry. They are seeking a Senior Analytics Engineer to take ownership of analytics data models, collaborate with stakeholders, and enhance data infrastructure in a fast-paced environment.

Responsibilities:

• Take ownership of Steno’s analytics data model, which includes
• Designing and building dbt data models that serve both traditional batch and real-time analytics needs
• Implementing dbt tests to ensure high data quality throughout our data models
• Creating custom ingestion pipelines for nonstandard data sources leveraging external APIs
• Collaborate with Data Analysts and business stakeholders to understand data requirements across business units
• Assist Data Analysts and business stakeholders in learning how to properly use the data models you create
• Build and refine data engineering processes and best practices based on project experiences
• Optimize Snowflake queries and warehouse performance for cost efficiency
• Stay informed about the latest trends within the modern data space and explore ways to leverage those trends to continuously improve our data stack
• Serve as a mentor to other Analytics Engineers and Data Analysts
• Establish and document data/analytics engineering standards and best practices across the organization

Requirements:

• You have advanced experience with dbt Core, git, Snowflake, and other common tools found within the modern data stack, including complex macros, packages, and CI/CD pipelines
• You have 5+ years of experience with writing SQL queries in an analytical environment
• At least 4-7 years of analytics engineering or data engineering experience
• You have experience creating data models adhering to data warehouse design patterns and dimensional modeling
• You have a demonstrated track record of delivering well-engineered data solutions with modern technologies
• You are effective at communicating with both technical and non-technical stakeholders
• Bonus points if you have worked in one or more early-stage startups!