Staff Data Engineer - US (Remote)
Tasks
- Build observability with metrics tracing and logging
- Build streaming and batch pipelines for ingestion and normalization
- Design and evolve event driven Kafka based data flows
- Design build and operate backend services with APIs
- Drive technical design reviews and set engineering best practices
- Ensure data quality, lineage, and governance
- Implement evaluation logging and feedback loops for AI systems
- Implement scalable data processing with Spark or Flink
- Integrate AI agents into production workflows
- Mentor and unblock engineers
- Orchestrate pipelines with AirFlow
- Own end to end MLS and property data architecture
- Run workloads on Kubernetes
- Translate business needs into technical strategies and delivery plans
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Alerting | Amazon EMR | Apache Iceberg | Apache Kafka | DBT | Data Warehousing | ELT | ETL | Elasticsearch | Flink | Graph Databases | GraphQL | Great Expectations | Hive | Java | Kubernetes | LLM APIs | Langchain | Langgraph | Logging | Metrics | Microservices | Observability | OpenSearch | Pinecone | PydanticAI | Python | REST | Retrieval-Augmented Generation | SLOs | SQL | Snowflake | Spark | Tracing | Vector Databases
Education
N/A
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