Data Engineer

11x
San Francisco
Workplace: HybridFull time170,000 - 200,000 annuallyFunction: Software EngineeringExperience: 4+ yearsSkills: ["Python","TypeScript","ETL","Data pipelines","Backend engineering"]

We are hiring a Data Engineer who operates like a founder to build foundational data infrastructure powering our AI-driven Go-to-Market platform. Own and extend data ingestion, pipelines, and data synchronization across systems, shaping the data backbone for AI workers and customer workflows in a fast-moving, ambiguity-friendly environment.

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FursaFursa
11x
11x
2 months ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

We are hiring a Data Engineer who operates like a founder to build foundational data infrastructure powering our AI-driven Go-to-Market platform. Own and extend data ingestion, pipelines, and data synchronization across systems, shaping the data backbone for AI workers and customer workflows in a fast-moving, ambiguity-friendly environment.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Own and extend our customer data ingestion platform.
  • •Build and maintain large-scale data pipelines powering AI products and customer workflows.
  • •Design systems for syncing customer data across external platforms, CRMs, and third-party systems.
  • •Help architect our future data lake, retrieval layer, and data infrastructure strategy.
  • •Build ingestion and querying systems for lead, account, enrichment, and customer knowledge data.

Pay and Benefits

Salary: 170,000 - 200,000 annually

Key Requirements

  • •4+ years of software engineering or data engineering experience.
  • •Strong experience building and maintaining production-grade data systems and pipelines.
  • •Experience with Python and TypeScript.
  • •Strong backend engineering fundamentals beyond traditional data engineering.
  • •High agency — you naturally move things forward without waiting for direction.
Experience:4+ yearsAIData engineeringSaaS
Skills:PythonTypeScriptETLData pipelinesBackend engineering
Tech Stack:PythonTypeScriptData pipelinesETLSQL

Company Brief

11x
Develops AI-powered tools for revenue and marketing teams to automate outreach, personalize messaging at scale, and optimize engagement using large language models and data-driven insights to improve conversion and pipeline efficiency.
Industry: SaaS
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