Sr AI Data Engineer
Remote, United States
R
USD 112K-159K (estimate) Senior-level Full Time
Tasks
- Align enterprise data into queryable graphs
- Build ingestion and transformation pipelines on AWS
- Communicate tradeoffs and value to stakeholders
- Create technical data dictionary business glossary and data catalog
- Curate grounding corpora eval datasets and retrieval benchmarks
- Define data contracts for attribute and context access control
- Design knowledge graphs and ontologies
- Implement data modeling standards and naming conventions
- Implement retrieval substrate with graph queries and vector indexes
- Instrument retrieval quality metrics and grounding accuracy
- Integrate data access with enterprise identity and access policies
- Mentor engineers on semantic modeling ontology design and retrieval engineering
- Profile sources and automate data validation monitoring metadata and lineage
Perks/Benefits
- 401k matching
- Adoption Assistance
- Dental insurance
- Disability insurance
- Employee assistance program
- Health Coach
- Health insurance
- Life insurance
- Paid parental leave
- Paid time off
- Retirement savings plan
- Tuition assistance
- Vision insurance
Skills/Tech-stack
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 | CloudFormation | Cypher | Data Catalog | Data Governance | Data Lineage | Data Quality | Data Validation | Embeddings | Graph Modeling | Graph Queries | Gremlin | Infrastructure as Code | Knowledge bases | LLM Evaluation | Metadata Management | Neo4j | OpenSearch Service | Python | RAG | RDF | SPARQL | SQL | Step Functions | Vector Databases | “as-code”
Education
Roles
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