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Data Engineer — AI Pipelines
Build ETL/ELT pipelines and AI-ready data lakes on Snowflake, BigQuery, and Redshift for clients running RAG and LLM applications.
Apply NowAbout the Role
Own the data foundation that powers our AI systems, from ingestion to retrieval-ready datasets.
What You’ll Do
- Design ETL/ELT pipelines on Snowflake, BigQuery, and Redshift
- Build AI-ready data lakes and feature stores
- Implement data quality, lineage, and governance
- Partner with ML teams on embeddings and retrieval
What We’re Looking For
- 4+ years in data engineering
- Expert SQL and Python; dbt and Airflow experience
- Cloud data warehouse expertise
Nice to Have
- Experience with vector databases
- Streaming pipelines (Kafka, Kinesis)
Why Sequora
- Work on mission-critical systems for Legal, Financial, and Government clients
- Remote-first culture with flexible hours
- Competitive salary, meaningful equity, and full benefits