Note: The job is a remote job and is open to candidates in USA. Cortex is the Engineering Operations Platform, providing visibility and governance for AI software development. As a Senior Data Engineer, you will own data systems and pipelines, ensuring accurate data for reporting and analytics while partnering with operations for AI-driven automation.
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
Skills
- 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
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
Company Overview