Data Engineer | Power
- Python, SQL
- Cloud-native data and GenAI tooling (GCP, VertexAI, etc)
- Streaming and messaging systems
- Distributed processing frameworks
- Data warehouses, lakes, and object storage
- Time-series and NoSQL databases
- ML and AI tooling (feature stores, vector databases, model pipelines)
- Docker, Kubernetes, and infrastructure-as-code tools
- 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
- 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
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