Looking for Senior Data Engineer

Data Engineer (AI/ML Exposure) | Long-Term | US Hours We’re looking for a strong Data Engineer to join us long-term. The focus is building reliable data pipelines and supporting AI/ML-driven features like LLM workflows and RAG systems. What you’ll do Build and maintain scalable data pipelines (batch + streaming) Work with large datasets and data transformations Support AI/ML data workflows (RAG, embeddings, feature pipelines) Improve data quality, performance, and reliability Integrate APIs and data services Requirements 5+ years in data engineering or similar roles Strong Python and SQL Experience with data pipelines in production Familiar with cloud (AWS/GCP/Azure) Able to work 6+ hours overlapping US time zone Good English communication Nice to have Experience with LLMs / GenAI / RAG Spark, Airflow, Kafka, Databricks Data warehousing / modeling Power BI or Tableau Experience with ML pipelines or deployment Details Long-term role Fully remote US timezone overlap required To apply, include: Relevant experience Tools you’ve used AI/ML exposure (if any) Availability (US hours) English Level