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Part Time Mongodb Database Administrator Jobs (NOW HIRING)

Jobgether

Our partner is looking for a Database Administrator based in Netherlands. We are seeking a detail ... Benefits: * Part-time contractor opportunity with approximately 10-15 hours per week. * Flexible ...

New

MatchPoint Solutions

SQL DBA

Maple Grove, MN · On-site +1

$50 - $60/hr

Remote - USA Employment Type: Part-time Pay Range: $50/hr - $60/hr - Key Responsibilities * Improve and optimize SQL Server database replication processes * Enhance database performance and ...

Compass Group

CBORD DATABASE ADMIN

Orlando, FL · On-site

* We are hiring immediately for a temporary CBORD DATABASE ADMIN position. * Location : OH Overhead ... BENEFITS FOR OUR TEAM MEMBERS * Full-time and part-time positions are offered the following ...

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Part Time Mongodb Database Administrator information

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How much do part time mongodb database administrator jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for part time mongodb database administrator in the United States is $49.16, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $59.13 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time MongoDB Database Administrator, and why are they important?

To thrive as a Part Time MongoDB Database Administrator, you need proficiency in database management, query optimization, and backup/recovery processes, typically supported by experience with NoSQL databases and a relevant degree or certification. Familiarity with tools like MongoDB Atlas, Compass, and monitoring systems, along with knowledge of scripting languages such as Python or Bash, is commonly required. Strong problem-solving abilities, attention to detail, and effective communication help you manage incidents and collaborate with development teams. These skills ensure secure, reliable, and efficient database operations, which are crucial for supporting business continuity even on a part-time schedule.

What are some common challenges faced by part-time MongoDB Database Administrators, and how can they effectively manage their workload?

Part-time MongoDB Database Administrators often face the challenge of balancing multiple responsibilities within limited working hours, which can make it difficult to address urgent issues or perform regular maintenance. To manage their workload effectively, they typically prioritize automation for routine tasks, maintain clear documentation, and set up proactive monitoring and alerting systems. Regular communication with the development and IT teams also helps ensure that issues are promptly identified and addressed, even outside their working hours. Being organized and leveraging MongoDB’s built-in tools can help part-time DBAs maintain high database performance and reliability.

What is a Part Time MongoDB Database Administrator?

A Part Time MongoDB Database Administrator is a professional who manages, monitors, and maintains MongoDB databases on a part-time basis. Their responsibilities include ensuring data integrity, optimizing performance, performing backups and restores, and troubleshooting database issues. They may also assist with database upgrades, security configurations, and scaling strategies. Working part-time, these administrators typically support organizations that do not require a full-time database professional but still need expert oversight for their MongoDB environments.

What is the difference between Part Time Mongodb Database Administrator vs Part Time MySQL Database Administrator?

AspectPart Time Mongodb Database AdministratorPart Time MySQL Database Administrator
Required CredentialsMongoDB certifications, database management skillsMySQL certifications, database management skills
Work EnvironmentCloud-based, NoSQL databases, flexible hoursOn-premises or cloud, relational databases, flexible hours
Employer & Industry UsageTech startups, SaaS companies, data-driven firmsFinancial institutions, e-commerce, enterprise IT
Search & Comparison IntentYesYes

Both roles involve managing databases but differ in the database type—MongoDB is NoSQL, while MySQL is relational. The choice depends on the company's data needs and technology stack, but both roles often require similar certifications and work environments, especially in part-time settings.

More about Part Time Mongodb Database Administrator jobs
What are the most commonly searched types of Mongodb Database Administrator jobs? The most popular types of Mongodb Database Administrator jobs are:
What job categories do people searching Part Time Mongodb Database Administrator jobs look for? The top searched job categories for Part Time Mongodb Database Administrator jobs are:
Part Time Mongodb Database Administrator jobs near you

Database Administrator

Jobgether

Remote

Part-time

Posted 6 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Database Administrator based in Netherlands.

We are seeking a detail-oriented Database Administrator to support organizations by maintaining accurate, structured, and actionable data systems.
This role focuses on database operations, reporting, data analysis, and CRM management to help teams make informed decisions.
The successful candidate will work closely with internal teams and clients to improve data processes and identify operational efficiencies.
This opportunity requires strong Excel expertise, analytical thinking, and the ability to transform complex datasets into meaningful insights.
The role offers the chance to contribute to mission-driven organizations by improving the systems that support their growth and impact.
The ideal candidate is independent, resourceful, and passionate about creating reliable data solutions that drive better outcomes.

Accountabilities:

The Database Administrator will support database maintenance and reporting activities by ensuring data accuracy, improving workflows, and delivering valuable insights through structured analysis. Key responsibilities include:

  • Perform advanced Excel-based data management, including pivot tables, complex formulas, data manipulation, and reporting.
  • Build, organize, and maintain reports for internal teams and external clients.
  • Manage CRM-related database activities, including data updates, receipt processing, and system maintenance.
  • Collaborate with executives and stakeholders to identify process improvement opportunities and optimize data workflows.
  • Collect, analyze, and structure large datasets to uncover trends, patterns, and actionable information.
  • Develop visual representations of data through graphs, dashboards, infographics, and other reporting methods.
  • Establish and monitor key performance indicators (KPIs) to evaluate business decisions and operational effectiveness.
  • Prepare presentations, summaries, and recommendations based on analytical findings.
  • Work collaboratively with analysts and team members to ensure accurate and reliable data processing.
Requirements:

The ideal candidate will have strong analytical capabilities, advanced Excel expertise, and the ability to work independently while managing detailed database operations. Required qualifications include:

  • Advanced proficiency in Microsoft Excel, including pivot tables, formulas, data analysis, and reporting functions.
  • Strong attention to detail with the ability to identify inconsistencies, errors, and data anomalies.
  • Experience working with databases, CRM systems, or data management platforms.
  • Ability to think logically and structure data queries using concepts such as conditions, filters, exclusions, and validation checks.
  • Strong problem-solving skills and the ability to independently research solutions through available resources.
  • Ability to work independently, prioritize tasks, and manage responsibilities with minimal supervision.
  • Strong analytical mindset with the ability to translate raw data into meaningful business insights.
  • Experience with CRM platforms such as Little Green Light, eTapestry, Raiser's Edge, or DonorPerfect is preferred.
  • Availability during standard daytime working hours.
  • Access to a Microsoft Excel subscription for professional use.
  • Resourceful approach to learning new systems, including willingness to use support tools and documentation when needed.
Benefits:
  • Part-time contractor opportunity with approximately 10-15 hours per week.
  • Flexible remote work environment.
  • Opportunity to support mission-driven organizations and meaningful projects.
  • Ability to apply data expertise to improve operational efficiency and decision-making.
  • Exposure to diverse CRM systems, reporting needs, and organizational workflows.
  • Opportunity to work independently while collaborating with a supportive professional team.
  • Flexible engagement designed for professionals seeking part-time consulting opportunities.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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