Senior Data Engineer

• The Senior Data Engineer will design and build reliable data solutions that translate complex product and business logic into scalable, well-tested data models and pipelines
• This role requires deep expertise in SQL, query acceleration, and applying GenAI to both engineering workflows and data/analytics interfaces
• They will partner across engineering, analytics, and business teams, contribute to shared codebases, improve data quality and observability, and help evolve the data architecture
• Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions, balancing data quality, business value, and speed
• Build and maintain natural language interfaces to data and analytics, applying GenAI/LLM techniques to make data more accessible across the business
• Use GenAI coding tools and practices in daily development to improve code quality, testing, and delivery speed
• Continuously evaluate new technologies that could improve and scale the team’s data platform and technology stack
• Establish and follow standards for SQL development, data modeling, testing, documentation, code reviews, and production support
• Support production data pipelines through on-call rotation and incident response, partnering with engineering, analytics, and business teams
• Document and maintain expertise in the technology stack and product domain, translating business needs into technical solutions with product management

Benefits

• Health Coverage: Doing your best starts with feeling your best. We provide fully paid medical, dental, and vision for employees, plus 70% for dependents
• Flexible Time Off: You can’t mobilize if you don’t rest and recharge—so take as much paid time off as you need
• Fruity Umbrella Drink Bonus: When we say we want you to take time off, we mean it. To encourage you, we offer extra compensation when you take time off in full-week increments
• Retirement Plan: There’s life beyond work, and someday there will be a lot of it. We’ll help you save for that time
• Professional Development: We invest in our people and build their skills for the future of work—no matter where that future takes them
• Family Leave: We support making big changes, and nothing will change your life more than bringing a child into your family. That’s why we offer 12 weeks of fully paid family leave for all parents
• Volunteer PTO: We give you paid days off to give back because we want our workforce to be a force for good
• Commuter Benefits: Although much of our workforce is remote, when we do head into the office, we subsidize eco-friendly ways to get there

• Hands-on experience building and operating distributed data platforms on AWS or GCP
• Experience building natural language interfaces over data warehouses, including applying GenAI/LLM techniques to data and analytics
• Bachelor’s degree in Computer Science or related field, or equivalent professional experience
• Hands-on experience with streaming platforms such as Kafka and Spark
• Experience working with and maintaining multi-tenant SaaS experiences
• Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino
• 8+ years building reliable, high-performance, large-scale distributed systems, with an emphasis on streaming and data pipelines
• Proficiency in python
• Expertise writing, optimizing, and analyzing SQL
• Experience scaling data modeling and warehousing
• Experience with Cube or other semantic layers
• Experience with scheduling tools such as Airflow
• Familiarity with the BI tool Metabase
• Proficiency in Ruby on Rails, React, or other adjacent languages