Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)
Skills
Grafana
Database Performance Tuning
Database Security
Documentation
Encryption
Management
Cosmos-Db
Couchbase
Data Modeling
Database
DevOps
Linux
Amazon DynamoDB
Apache Cassandra
Auditing
Backup
Bash
Cloud Computing
Microsoft Azure
MongoDB
NoSQL
Python
Recovery
Redis
Replication
Scalability
Scripting
Unix
Windows PowerShell
Job Details
NoSQL Database Administrator
Location : Chicago, IL (On-site)
Contract
Job Summary
We are looking for a skilled NoSQL Database Engineer / Administrator to design, implement, manage, and support distributed NoSQL database systems. You will be responsible for high-performance data architectures using technologies such as MongoDB, Cassandra, Couchbase, Redis, DynamoDB, or similar. This role is critical to maintaining data availability, performance, scalability, and security across large-scale systems.
Key Responsibilities
- Design and maintain NoSQL databases (MongoDB, Cassandra, DynamoDB, Couchbase, Redis, etc.)
- Manage database performance tuning, scalability, and reliability
- Set up backup, recovery, replication, and sharding strategies
- Monitor database systems using tools like Prometheus, Grafana, or CloudWatch
- Collaborate with developers and DevOps to optimize data access patterns
- Design schema and data models for scalable, high-volume applications
- Automate database tasks using scripting (Python, Bash, etc.) or Infrastructure-as-Code tools
- Troubleshoot database issues and optimize resource utilization
- Ensure database security including encryption, role-based access, and audit logging
- Maintain documentation for architecture, procedures, and runbooks
Required Qualifications
- Bachelor s degree in Computer Science, Information Systems, or equivalent experience
- 3 7 years of hands-on experience with one or more NoSQL databases (MongoDB, Cassandra, Redis, etc.)
- Proficiency in data modeling for NoSQL systems
- Experience managing distributed systems in production
- Strong knowledge of database internals (replication, partitioning, consistency models)
- Proficient with Linux/Unix environments
- Experience with cloud-native database solutions (e.g., AWS DynamoDB, Azure Cosmos DB, Google Bigtable)
- Strong scripting skills (Python, Bash, PowerShell, etc.)
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