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Contract Microsoft Access Database Developer Jobs in Carol Stream, IL

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Contract Microsoft Access Database Developer information

See Carol Stream, IL salary details

$25

$45

$85

How much do contract microsoft access database developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for contract microsoft access database developer in Carol Stream, IL is $45.04, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $45.77 per hour, depending on experience, location, and employer.

What cities near Carol Stream, IL are hiring for Contract Microsoft Access Database Developer jobs?

Cities near Carol Stream, IL with the most Contract Microsoft Access Database Developer job openings:

Contract Microsoft Access Database Developer jobs near you

Senior Graph Database Developer

Long Finch Technologies

Harwood Heights, IL • Hybrid

Contractor

Posted 5 days ago

Job description

Job title: Senior Graph Database Developer

Work Location: Chicago, IL, 60606(Hybrid )

Duration: 6+ Months Contract
Experience Level: 10+ Years

Visa: Visa Independent Only

Job Description:
Must Have Skills
Amazon Neptune Graph Database, SPARQL
Data Engineering / ETL Pipelines
GraphRAG
Nice to have skills
Gen AI integration, Python  Backend API Development
Detailed 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
Design enterprise ontologies, taxonomies, and graph schemas that reflect complex business structures.
Architect, configure, and scale Amazon Neptune database environments to handle billions of relationships.
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.

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