Sr AI Data Engineer
Remote, United States
R
USD 130K-173K (estimate) Senior-level Full Time
Tasks
- Align enterprise data into a coherent queryable graph
- Author infrastructure as code with CloudFormation
- Build hybrid retrieval using graph queries and vector indexes
- Contribute to data dictionary business glossary and data catalog
- Create conceptual logical physical data models
- Curate grounding corpora and retrieval eval datasets
- Define data contracts and metadata for access control
- Design and evolve knowledge graphs and ontologies
- Develop ingestion and transformation pipelines on AWS
- Implement IAM security cost and observability best practices
- Instrument retrieval quality and grounding accuracy metrics
- Integrate data access with enterprise identity and access policies
- Mentor engineers and citizen developers on ontology and retrieval engineering
- Profile sources and design automated data validation monitoring lineage
- Set data and semantic modeling design direction
Perks/Benefits
- 401k match
- Adoption Assistance
- 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 CDK | AWS CloudFormation | AWS Glue | AWS IAM | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Bedrock | Amazon Neptune | Amazon OpenSearch | Amazon OpenSearch Service | Amazon S3 | Bedrock Knowledge Bases | Cypher | Data Governance | Data Modeling | Embeddings | Evaluation datasets | Graph Databases | Gremlin | Hybrid retrieval | Knowledge bases | Knowledge graphs | LLM Evaluation | LLM Evaluation Datasets | Neo4j | Ontologies | OpenSearch Service | Python | RAG | RDF | SPARQL | SQL | Step Functions | Vector indexes
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Senior Data Engineer
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