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Senior Data Engineer

United States · Job Posted December 11, 2025
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Job Description

A VC-backed conversational AI scale-up is expanding its engineering team and is looking for a Senior Data Engineer with deep Spark expertise to help architect and scale the data backbone behind cutting-edge AI-driven systems.

Job Responsibility

  • Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
  • Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
  • Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
  • Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

Requirements

  • 4+ years in software development and data engineering with ownership of production-grade systems
  • Proven expertise in Spark/PySpark
  • Strong knowledge of distributed computing and modern data modeling approaches
  • Solid programming skills in Python, with an emphasis on clean, maintainable code
  • Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
  • Excellent communicator who can influence and partner across teams

Nice to have

  • Experience in high-growth, early-stage environments
  • Familiarity with MLOps and deploying ML models into production data workflows
  • A problem-solver at heart, excited by innovation and complex challenges

What we offer

great equity

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