Senior Data Engineer, AI Platform
Tasks
- Build AI ready data products semantic models and retrieval capabilities
- Build self service and automation capabilities for developer productivity
- Design and optimize vector search hybrid search and retrieval augmented generation
- Design build and scale enterprise data platform for analytics and machine learning
- Develop scalable data pipelines for structured unstructured batch and real time workloads
- Establish data modeling testing observability governance security and reliability best practices
- Implement streaming and event driven solutions for near real time insights
- Mentor engineers and influence architecture decisions
- Partner with cross functional teams to deliver trusted data solutions
Perks/Benefits
- 401k match
- Insurance Coverage for Dependents
- Learning and wellness stipend
- Paid parental leave
- Remote-first
- Unlimited PTO
Skills/Tech-stack
AWS | Amazon Redshift | Apache Airflow | Apache Iceberg | Apache Kafka | Apache Spark | Azure | Azure Event | Azure Event Hubs | BigQuery | CI/CD | Cloud Data | Cloud Data Platforms | DBT | Dagster | Data Engineering | Data Governance | Data Observability | Data platforms | Databricks | Dbt Semantic Models | Delta Lake | Dimensional Modeling | ELT | ETL | Event Driven | Event Hubs | Event-driven architecture | GCP | Hybrid search | Infrastructure automation | Lakehouse | Metadata Management | Microsoft Fabric | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic models | Snowflake | Streaming Data | Testing | Vector Search
Education
N/A
Roles
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