SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 175,000 - 205,000 / annual
Cortex is an Engineering Operations Platform that provides visibility, governance, and automation for AI-driven software development. As a Senior Data Engineer, you will own the company's internal data systems and pipelines, consolidating a currently fragmented stack (Segment, Hevo, BigQuery, Omni) into a single, trustworthy source of truth.
Key responsibilities include:
- End-to-end ownership of data pipelines: ingestion, transformation (dbt), warehousing (BigQuery), and delivery to reporting and BI tools (Omni)
- Audit and consolidate existing data systems, establishing a unified data architecture
- Build and maintain dbt models with comprehensive testing, documentation, and clear data contracts
- Establish data quality, observability, and reliability practices to shift from reactive to intentional pipeline maintenance
- Own product analytics: event instrumentation, usage data models, and metrics for GTM and product teams
- Partner with GTM operations to ensure data foundations support AI-driven automation and reporting consolidation
- Support external research initiatives (e.g., industry benchmarks) by sourcing and validating data
- Lay groundwork for high-volume and streaming ingestion (e.g., telemetry, OpenTelemetry) as the product evolves
You'll work with a team of 80 engineers at a YC-backed company (Series C, $60M raised) that is SOC 2 Type II and ISO/IEC 27001 certified. Clients include Rapid7, Xero, BigCommerce, Skyscanner, and others. The company is fully remote with all-hands offsites several times per year.
Required qualifications: 4+ years of hands-on data engineering experience building production pipelines, proficiency with dbt and cloud data warehouses (BigQuery), strong SQL and Python skills, solid data modeling judgment, and excellent communication with non-technical stakeholders. Experience with high-volume/streaming systems, CDPs, or startups is a plus.
