Job Title: Data Engineer
Work Location: Chicago, IL (Hybrid)
Must have skills:
- Amazon Neptune Graph Database, SPARQL
- Data Engineering / ETL Pipelines
- GraphRAG
Nice to Have Skills:
Gen AI integration, Python Backend API Development
Job Description:
- Education Bachelors or Masters degree in Computer Science, Data Science, Information Architecture, or a related field.
- Graph Databases Extensive hands on experience designing and managing production scale instances of Amazon Neptune.
- Graph languages, specifically Gremlin or SPARQL.
- Programming Advanced production coding in Python or JVM environments Java, Scala.
- Cloud Infrastructure Strong proficiency with AWS Services e.g., AWS S3, Amazon RDS, Amazon ECS
Top 3 responsibilities you would expect the Subcon to shoulder and execute
- Should be able to build data platform
- Stakeholder Client Communication
- Integrate knowledge graphs into GraphRAG pipelines to enhance contextual grounding and minimize AI hallucinations.
- Partner with AI teams to implement hybrid search architectures combining graph traversals with vector databases.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf