Principal Data Engineer

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

📋 Description

• Design, develop, and maintain a robust and scalable data platform that supports analytics, machine learning, and AI workloads.

• Build and enhance the infrastructure behind the Semantic Layer and Data Agent, focusing on how LLMs can discover, understand, and safely query data.

• Establish evaluation, observability, and quality practices for AI systems that rely on the data platform.

• Collaborate with Data Science and Product Engineering teams to create and deploy reliable data and AI products.

• Ensure data availability, quality, and reliability within the data platform.

• Identify opportunities for improvement within the platform.

• Propose new or enhanced solutions and guide them from design through to implementation.

• Develop best practices for data modeling, pipelines, and testing.

• Create tools that enable Data Scientists and Engineers to build and deploy scalable, reliable data pipelines, machine learning models, and LLM-powered tools.

• Work with technologies such as Snowflake, Apache Airflow, dbt, Kubernetes, Terraform, and AI lab technologies.

• Utilize Go for the majority of tool development.

• Share knowledge, break down silos, and foster collaboration across teams.

⛳️ Requirements

• Ability to thrive in a fast-paced startup environment.

• Over 5 years of experience as an individual technical contributor.

• More than 5 years of experience with data platforms.

• Familiarity with Cloud Data Warehouses such as Snowflake, BigQuery, Redshift, etc.

• Proficient in developing with Python or Go.

• Experience with Workflow Orchestrators like Airflow, Luigi, Dagster, or Prefect.

• Strong understanding of data warehousing and data modeling principles.

• Experience with semantic or metrics layers including dbt Semantic Layer, Cube, LookML, etc.

• Regular use of coding agents such as Claude Code, Codex, Cursor, etc. in your development workflow.

• Hands-on experience in building or supporting applications that utilize LLMs through APIs like Anthropic or OpenAI.

• Experience in designing evaluations for LLM systems, such as text-to-SQL accuracy.

• A combination of experience and a willingness to learn, particularly in a rapidly evolving AI landscape.

• Comfort with ambiguity and a desire to engage with business challenges.

• Pragmatic approach to AI.

• Interest in working within a collaborative environment and enhancing team performance.

• Motivation to contribute individually while possessing the ability to self-direct tasks.

🏝️ Benefits

• Employer-sponsored health, dental, and vision plan with low or no premium.

• Generous paid time off.

• $100 monthly mobile or internet stipend.

• Stock options available for all employees.

• Bonus eligibility for all roles, excluding Director and above.

• Parental leave program.

• 401K program.

• Comprehensive total rewards package for full-time employees.