Sr AI Data Engineer
Tasks
- Align enterprise data into a queryable graph
- Apply IAM security and observability best practices
- Automate validation monitoring metadata and lineage
- Build ingestion and transformation pipelines on AWS
- Build retrieval substrate using graph queries and vector indexes
- Communicate tradeoffs to stakeholders
- Create data models and establish modeling standards
- Curate grounding corpora and retrieval benchmarks
- Define data contracts and access control metadata
- Design knowledge graphs and ontologies
- Implement Infrastructure as Code with CloudFormation
- Instrument retrieval quality and grounding metrics
- Integrate data access with enterprise identity policies
- Maintain data catalog data dictionary and glossary
- Mentor engineers on semantic modeling and retrieval engineering
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid parental leave
- Paid time off
- Tuition assistance
- Vision insurance
Skills/Tech-stack
AWS | Athena | Bedrock | Bedrock Knowledge Bases | CDK | CloudFormation | Cypher | Glue | GraphQL | Gremlin | IAM | Knowledge bases | Lambda | Neo4j | Neptune | OpenSearch | Python | RDF | S3 | SPARQL | SQL | Step Functions
Education
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Senior Data Engineer
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