Senior Analytics Engineer

Job Description

Requirements

• 5+ years as an analytics or data engineer.
• Software engineering experience focused on data platforms also counts.
• 3+ years of involved experience with Snowflake, ideally including performance optimization.
• Experience with dimensional modeling, ideally having built two or more dimensional marts.
• Strong Python, SQL, and dbt experience.
• Familiarity with managing an orchestration platform like Dagster or Airflow.
• Proficient in SQL and Python.
• Self-starter that excels at exploring problems and collaborating with operations teams.
• Excellent focus and ability to prioritize using an iterative approach.
• Able to present findings to technical and non-technical audiences.

Responsibilities

• Work closely with domain partners to understand data needs.
• Standardize metric creation and usage.
• Build out context for LLMs in data models.
• Evaluate impact of optimizations on costs and performance.
• Be responsible for the design, build, and health of all ETL pipelines.
• Perform on-duty responsibilities requiring working understanding of the full stack.
• Champion best practices across data.
• Be a key partner in the data platform team roadmap.
• Lead dimensional design to structure Wave's analytics data for human and AI end users, including building facts, dimensions, and One Big Tables (OBTs) for various focus areas.
• Manage extensive Snowflake estate with a strong analytical mindset: find repeated patterns, optimize them, identify and turn off stale/unused models.

Benefits

• Subsidized health insurance for you and your dependents.
• Retirement contributions.
• 6 months fully paid parental leave and subsidized fertility assistance.
• Competitive salary $123,500 to $176,400 USD plus equity.