Quandri

Data Engineer

• Own the Databricks data lake end to end, including dbt models, medallion layers, incremental and backfill strategy, partitioning, freshness, and quality monitoring
• Stand up CDC and streaming ingestion from HubSpot, Langfuse, Postgres, and DynamoDB into the data lake, handling idempotency and deduplication
• Own data services, schema and migration strategy, versioned APIs, provenance and audit trails, tests, and observability
• Build AI data infrastructure, embedding pipelines, vector stores, retrieval knowledge bases, feature stores, and LLM observability
• Develop and maintain cloud databases with the Infrastructure team
• Improve data retrieval and optimize analytics dashboards
• Maintain data management and security policies
• Collaborate with software, AI/ML, and data engineers, data scientists, product, and business units to align requirements
• Communicate technical concepts clearly to non-technical stakeholders
• Guide and mentor engineers in data best practices

Senior Data Engineer