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

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

Senior Data Engineer

Responsibilities

Qualification

Required

Benefits

Company

Cortex

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