Senior Data Engineer

Join our team as a Senior Data Engineer, where you will design and build reliable data solutions that translate complex product and business logic into scalable, well-tested data models and pipelines. You will work closely with engineering, analytics, and business teams, contribute to shared codebases, improve data quality and observability, and help evolve the data architecture. This role requires deep expertise in SQL, query acceleration, and applying GenAI to both engineering workflows and data/analytics interfaces.

- Design and build reliable data solutions that translate complex product and business logic into scalable, well-tested data models and pipelines. - Partner across engineering, analytics, and business teams to improve data quality and observability, and help evolve the data architecture. - Continuously evaluate new technologies that could improve and scale the team's data platform and technology stack.

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