Data Engineer

Role Overview

We are looking for an experienced Data Engineer to own and scale our data platform. You will maintain and optimize our pipelines, design new ingestion processes, and support the data needs of our product, data science, and go-to-market teams.

What You Will Do

Maintain and improve data pipelines to keep data flowing reliably from ingestion to delivery, optimize performance and costs across Snowflake, Clickhouse, AWS, dbt, and Dagster, and support MLOps as machine learning models are developed and productionized.

Why It Might Be a Fit

This is a great opportunity for someone who enjoys working with modern data tooling, improving performance and reliability, and building the foundation for machine learning-powered features.

Requirements

• Proven experience designing, building, and maintaining production data pipelines
• Proficiency in Python and SQL
• Hands-on experience with dbt, orchestration frameworks such as Dagster, Airflow, or Prefect, and AWS
• Familiarity with Snowflake, Clickhouse, or other modern data warehouses
• Strong problem-solving skills and a proactive mindset
• Experience with or interest in MLOps and supporting machine learning workflows in production
• Strong sense of ownership and accountability for data quality and reliability

Benefits

• base salary
• equity
• full range of benefits and perks