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Database Engineer

  • ... Posted on: Mar 10, 2026
  • ... Henderson Scott
  • ... Hopkins, Michigan
  • ... Salary: Not Available
  • ... Full-time

Database Engineer   

Job Title :

Database Engineer

Job Type :

Full-time

Job Location :

Hopkins Michigan United States

Remote :

No

Jobcon Logo Job Description :

Salary: Dependant on experience We’re looking for a MongoDB specialist who thrives on building high-performance, highly available data platforms at scale. If you enjoy solving complex performance challenges, designing resilient database architectures, and working with modern cloud infrastructure — this role offers real technical ownership and impact. What you’ll be doing Design and optimise MongoDB clusters for scalability and resilience Manage replication, sharding, performance tuning & capacity planning Implement backup, recovery and security best practices Partner with engineering teams to improve data models & query performance Implement monitoring, automation and disaster recovery strategies What you’ll bring Strong production experience with MongoDB architecture & optimisation Knowledge of MongoDB Atlas / cloud deployments Experience with NoSQL platforms (Elasticsearch, Cassandra or Couchbase) Linux & scripting skills (Python, Bash or similar) Familiarity with cloud, containers or CI/CD environments Apply now or message me directly to learn more. #J-18808-Ljbffr

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Jobcon Logo Position Details

Posted:

Mar 10, 2026

Reference Number:

14660_FF0AE87758049D57DF854D27F93335C8

Employment:

Full-time

Salary:

Not Available

City:

Hopkins

Job Origin:

APPCAST_CPC

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Salary: Dependant on experience We’re looking for a MongoDB specialist who thrives on building high-performance, highly available data platforms at scale. If you enjoy solving complex performance challenges, designing resilient database architectures, and working with modern cloud infrastructure — this role offers real technical ownership and impact. What you’ll be doing Design and optimise MongoDB clusters for scalability and resilience Manage replication, sharding, performance tuning & capacity planning Implement backup, recovery and security best practices Partner with engineering teams to improve data models & query performance Implement monitoring, automation and disaster recovery strategies What you’ll bring Strong production experience with MongoDB architecture & optimisation Knowledge of MongoDB Atlas / cloud deployments Experience with NoSQL platforms (Elasticsearch, Cassandra or Couchbase) Linux & scripting skills (Python, Bash or similar) Familiarity with cloud, containers or CI/CD environments Apply now or message me directly to learn more. #J-18808-Ljbffr

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