Senior Analytics Engineer

As a Senior Analytics Engineer at Scale, you will spearhead building the company's analytical and business-intelligence infrastructure. Scale's customers process millions of tasks through our APIs, and we're looking for a talented Analytics Engineer to build scalable solutions to support this growth. You will have widespread purview, with responsibility for understanding, mining, aggregating, and exposing data across the entire business to support timely and efficient decision-making and data exploration. You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems.

You will:

• Work with operations, finance, and engineering to drive the development of pipelines that provide single-source-of-truth foundational accuracy
• Continually improve ongoing data pipelines and simplify self-service support for business stakeholders
• Perform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metrics

Ideally You’d Have:

• 6+ years of relevant work experience in a role requiring application of data modeling and analytic skills
• Ability to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis using SQL and Python
• Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create a foundation for data insights.
• Partner with operations and sales teams to automate manual workflows
• Experience in using highly scalable data engineering technologies such as Dagster
• Experience in best practices for table storage and query optimization in Snowflake.

The base salary range for this full-time position in the location of San Francisco is: $172,000—$206,400 USD