[Hiring] Senior Data Engineer @Cortex

Role Description

As a Senior Data Engineer , you’ll own our internal data systems and pipelines. You will be responsible for the ingestion, transformation, and warehousing that power reporting across the company, consolidating a stack currently spread across Segment, Hevo, BigQuery, and Omni into a single, trustworthy source of truth, and laying the foundation for higher-volume data work as we grow. You'll partner closely with GTM operations to ensure our AI-driven automation & tools are built on accurate, well-modeled data, including owning product analytics.

Responsibilities

• Own data pipelines end to end - ingestion, transformation (dbt), warehousing (BigQuery), and delivery into reporting and BI (Omni)
• Audit and map the existing data systems before rebuilding, 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 so pipelines are maintained intentionally rather than reactively
• Own product analytics: instrumentation and event tracking, data models for usage and adoption, and the metrics GTM and product teams rely on
• Partner with GTM operations to consolidate reporting into a single tool and ensure we have the right data foundations for AI automation and tools
• Support research for external reports (e.g. the Engineering in the Age of AI benchmark report), partnering with marketing to source, validate, and pull the right data
• Lay the groundwork for high-volume and streaming ingestion (e.g. telemetry / OpenTelemetry) as the product moves that way

Qualifications

• 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) for pipeline and transformation work
• Solid data modeling judgment with a focus on data quality, testing, and reliability
• A bias toward mapping and rationalizing a messy environment before adding to it
• Strong communication and collaboration skills, including with non-engineering stakeholders
• Fluent, critical use of AI in day-to-day engineering, reviewing AI output as carefully as a teammate's PR
• Experience with high-volume / streaming systems (ClickHouse, OpenTelemetry) or CDP / ETL tools (Segment, Hevo) is a plus
• Previous experience at a startup is a plus

Compensation

• Starting Salary Range: $175,000.00 to $205,000.00
• Competitive Equity Package

Perks & Benefits

• National medical, dental & vision insurance (we cover 100% for employees!)
• Unlimited PTO & flexible working hours
• 401k plan
• Gender-neutral parental leave
• $1000 yearly Learning & Development stipend
• $400 monthly perks stipend (use it on anything)
• Pet Insurance