Senior Data Analytics Engineer - Data Insights

Role overview

Senior Data Analytics Engineer (Data Insights) responsible for building and scaling a trusted, company-wide data foundation that powers high-quality decision-making. You will transform raw data into reliable, structured, and actionable insights by designing scalable data models, metrics layers, and analytical datasets in a cloud data warehouse.

Responsibilities

• Design, build, and maintain scalable data models, transformations, and pipelines using modern analytics engineering practices
• Develop and standardize core business metrics and dimensions for consistent, self-service analytics
• Collaborate with cross-functional stakeholders to translate decision-making needs into analytical data products
• Implement and optimize data transformations (e.g., with dbt) to ensure data quality, performance, and maintainability
• Build and evolve semantic layers and KPI frameworks for dashboards, reporting, experimentation, and advanced analytics
• Define best practices for data modeling, metric definitions, and analytics engineering standards across teams
• Work with data engineering, analytics, and business teams to deliver end-to-end data solutions

Requirements

• 5+ years in data analytics engineering, data modeling, BI engineering, or similar roles
• Strong SQL skills (data modeling, query optimization, working with large-scale datasets)
• 3+ years with Python and dbt for transformations and analytics engineering workflows
• Deep understanding of modern data warehousing and cloud data platforms (e.g., Snowflake)
• Experience building metrics layers, semantic models, and self-service analytics environments
• Strong analytical/problem-solving skills and ability to manage multiple complex data projects
• Excellent communication and documentation skills; can explain technical concepts to non-technical audiences
• Experience in remote, cross-functional environments with ownership and autonomy

Nice to have

• Familiarity with AWS, GCP, or Azure and source control (e.g., Git)
• Experience with semi-structured data (e.g., JSON) and BI tools

Benefits (highlights)

• Competitive compensation with potential equity
• Unlimited paid time off; paid holidays
• Medical coverage (plus dental/vision) and broader health/life/disability/wellness benefits
• Monthly remote work stipend and equipment support
• 401(k) with company matching
• Learning and development programs
• Flexible remote work with optional office access in major U.S. cities