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Data Engineer | Power

LinkedIn Pittsburgh Robotics Network New York, NY
Not Applicable Posted March 14, 2026 Job link
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Requirements
  • Python, SQL
  • ML and AI tooling (feature stores, vector databases, model pipelines)
  • Docker, Kubernetes, and infrastructure-as-code tools
  • You’re a builder who likes owning problems end to end—from understanding customer needs to shipping and maintaining production systems.
  • You’re comfortable crossing boundaries between data engineering, ML, and backend work, and you’re energized by fast feedback loops and real-world impact.
  • You prefer pragmatic solutions over perfect ones, communicate clearly with technical and non-technical stakeholders, and enjoy helping shape both the product and the engineering culture.
  • 7+ years of experience in data engineering, backend engineering, or adjacent roles
  • Strong Python skills, proficient with ML packages and distributed backends
  • Experience building production data pipelines and systems from scratch
  • Comfort working with both structured and unstructured data
  • Experience operating systems in production and owning reliability
  • Ability to work directly with customers or end users to understand requirements
  • Strong problem-solving skills in ambiguous, fast-moving environments
Preferred Skills
  • You prefer pragmatic solutions over perfect ones, communicate clearly with technical and non-technical stakeholders, and enjoy helping shape both the product and the engineering culture.
  • Experience contributing to ML workflows (feature engineering, training pipelines, evaluation, or inference)
  • Experience with agentic AI systems or similar orchestration frameworks for enterprise-grade reasoning and/or automation
  • Experience with document processing, NLP, or vector search
  • Experience with time-series or IoT data
  • Startup or early-stage product experience
  • Experience making architectural tradeoffs under real-world constraints