Senior Data Engineer

Cortex
United States
Workplace: RemoteFull timeUSD 175,000 - 205,000 annuallyFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Communication","Collaboration","Data quality focus","Reliability mindset","Problem-solving"]

Own internal data systems and pipelines that power company reporting and BI. You’ll consolidate a fragmented stack (Segment, Hevo, BigQuery, Omni) into a single source of truth by mapping existing systems, rebuilding with reliable ingestion and warehousing, and creating well-tested dbt models. Drive product analytics through event tracking, usage/adoption data models, and GTM-aligned metrics, while partnering across teams to improve data foundations for AI-driven automation.

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FursaFursa
Cortex
Cortex
3 days ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Own internal data systems and pipelines that power company reporting and BI. You’ll consolidate a fragmented stack (Segment, Hevo, BigQuery, Omni) into a single source of truth by mapping existing systems, rebuilding with reliable ingestion and warehousing, and creating well-tested dbt models. Drive product analytics through event tracking, usage/adoption data models, and GTM-aligned metrics, while partnering across teams to improve data foundations for AI-driven automation.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own data pipelines end to end: ingestion, transformation (dbt), warehousing (BigQuery), and delivery into reporting/BI (Omni).
  • •Audit and map existing data systems, then consolidate 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.
  • •Own product analytics including instrumentation/event tracking and data models for usage, adoption, and GTM/product metrics.

Pay and Benefits

Salary: USD 175,000 - 205,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionPaid Leave401kParental LeaveLearning BudgetPet InsurancePerks Stipend

Key Requirements

  • •Bachelor’s degree in Computer Science (or related) 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.
  • •Strong data modeling judgment focused on data quality, testing, and reliability.
Experience:Startup
Education:Bachelor's in Computer Science
Skills:CommunicationCollaborationData quality focusReliability mindsetProblem-solving
Languages:English
Tech Stack:DbtBigQuerySegmentHevoOmniSQLPythonETLELTClickHouseOpenTelemetryCDPTelemetryData modelingData pipelines

Company Brief

Cortex
Offers an AI-driven platform that analyzes and optimizes creative assets and marketing campaigns, automating creative production and delivering insights to improve engagement, performance, and return on ad spend for marketing teams.
Industry: SaaS
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