Senior Data Engineer

Stack

Responsibilities

• ▹Own data pipelines end to end: ingestion, transformation (dbt), warehousing (BigQuery), delivery into reporting and BI (Omni)
• ▹Audit and map existing data systems, then consolidate the stack toward a single source of truth
• ▹Build and maintain dbt models and transformation logic with tests, documentation and clear contracts
• ▹Establish data quality, observability and reliability practices
• ▹Own product analytics: instrumentation, event tracking, and data models for usage and adoption
• ▹Partner with GTM operations to consolidate reporting into a single tool
• ▹Support research for external reports, partnering with marketing
• ▹Lay the groundwork for high-volume and streaming ingestion (e.g. OpenTelemetry)

Requirements

• ▹Bachelor's degree in Computer Science or related field, or equivalent practical experience
• ▹4+ years of hands-on data engineering experience building and owning production pipelines
• ▹Proficiency with dbt, a cloud data warehouse (BigQuery or equivalent), and ETL/ELT tooling
• ▹Strong SQL and proficiency in a general-purpose language (e.g. Python)
• ▹Solid data modeling judgment with a focus on data quality, testing and reliability

What we offer

• ▹Fully remote, from anywhere in the US
• ▹Company-wide offsites a few times a year

About the company

Cortex is the Engineering Operations Platform - mission control for the AI software factory. A YC company, SOC 2 Type II and ISO/IEC 27001 certified, used by teams like Rapid7, Xero, BigCommerce, Skyscanner, LetsGetChecked, and H&R Block. Raised $60M in Series C funding this year led by Scale Ventures.