Senior Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Propose, design, and develop reliable tables within the data warehouse using dbt for business intelligence, data science, and machine learning applications.

• Manage the complete process of dimensional modeling from gathering requirements to implementation, testing, and delivery.

• Design and enhance the semantic layer with Snowflake semantic views in dbt for Looker and a natural-language BI chatbot.

• Establish canonical metrics, relationships, and validated queries based on business inquiries.

• Convert stakeholder requirements into structured data models and downstream Looker experiences.

• Act as a subject matter expert for cross-functional teams through dashboards, self-service tools, and ad-hoc analyses.

• Ensure data governance and privacy through PII/PHI classification, masking policies, and data contracts.

• Enhance performance and cost efficiency at big-data scale via incrementality patterns, warehouse and clustering choices, and query optimization.

• Facilitate data discovery and lineage while building trust in data assets.

• Collaborate with data and machine learning engineers utilizing dbt, Looker, Snowflake, Airflow, Snowplow, and Fivetran.

• Work with colleagues to develop a world-class mental health product.

⛳️ Requirements

• A minimum of 5 years of experience in analytics engineering, data engineering, data analytics, or a related discipline.

• At least 4 years of experience with business intelligence tools, ideally Looker or Omni.

• A minimum of 3 years of experience using dbt for in-warehouse data transformations.

• Strong technical proficiency in SQL, encompassing big data scale query design, incrementality patterns, and performance optimization.

• In-depth understanding of analytical data models, including star schemas, analytics-ready design patterns, and dimensional modeling.

• Exceptional communication skills, keen attention to detail, and proficient time management.

• Experience in mentoring, fostering collaborative development, and performing team pull request reviews.

• Comprehensive knowledge of data testing, including assertion design, coverage, orchestration, and data contracts.

• Proficiency with version control using Git in a collaborative team setting.

• Authorized to work in the U.S.

🏝️ Benefits

• Remote work with regular in-person bonding experiences funded by the company.

• Competitive salary.

• A comprehensive perks program, featuring free therapy and employee wellness initiatives.

• Excellent health, dental, and vision insurance.

• 401k benefits with employer matching contributions.

• Any hardware or software that enhances your happiness and productivity.

• Company-sponsored travel costs for visits to the San Jose office and company-wide offsite events.

• Reasonable accommodations for individuals under unique circumstances who are unable to travel.

• Eligibility for performance bonuses.

• Extensive benefits package, subject to eligibility criteria.