Senior Data Engineer (US)

• 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.

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

Pay range: $155K - $170K

• Excellent PTO program
• Great health benefits
• Casual and friendly environment
• Remote work
• Leadership team believes in personal and professional growth