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Remote Cloud Database Engineer Jobs in Athens, GA

Replit Tutor

Athens, GA · Remote

$18 - $40/hr

Deep knowledge of Replit cloud development environment including online IDE features, multi ... developers, deploying web applications, and integrating databases. Emphasizes accessible ...

Remote-Contract Duration: 1 year + Extension Location: Athens, GA 30606 Job Summary: Seeking an ... Advanced experience with Oracle Database, SQL, and PL/SQL. * Strong problem-solving, debugging, and ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Comfort working with public chemical and bioactivity databases and integrating diverse datasets for ...

Web Development Tutor

Athens, GA · Remote

$18 - $40/hr

... engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching full-stack ... databases, implementing user authentication, and deploying applications to cloud platforms.

Currently we have approximately 400 Cognos reports with Oracle databases serving as the data source ... Local candidates strongly preferred but 100% remote is acceptable. The consultant will be ...

Remote Cloud Database Engineer information

See Athens, GA salary details

$58.4K

$117.9K

$161.7K

How much do remote cloud database engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote cloud database engineer in Athens, GA is $117,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $135,200.00 per year, depending on experience, location, and employer.

What is a remote cloud database engineer?

Remote Cloud Database Engineers are IT professionals who design, implement, manage, and optimize cloud-based databases while working from a remote location. They are responsible for ensuring the reliability, security, and scalability of databases hosted on cloud platforms like AWS, Azure, or Google Cloud. Their work involves database architecture design, data migration, performance tuning, backup and recovery, and troubleshooting. These engineers collaborate with development and operations teams to support applications and services that rely on cloud databases.

What are some common challenges remote cloud database engineers face when managing distributed database systems?

Remote Cloud Database Engineers often encounter challenges related to ensuring optimal performance, security, and data consistency across distributed environments. Working remotely adds complexity, as it requires effective communication with cross-functional teams and proactive monitoring to quickly address issues. Additionally, keeping up with evolving cloud technologies and best practices is essential for maintaining seamless operations and minimizing downtime. Building strong collaboration habits and leveraging automation tools can help overcome these challenges and contribute to a robust database infrastructure.

What are the key skills and qualifications needed to thrive as a remote cloud database engineer?

To thrive as a Remote Cloud Database Engineer, you need expertise in database design, management, and optimization, typically backed by a degree in computer science or related field. Familiarity with major cloud platforms (such as AWS, Azure, or Google Cloud), automation tools, and certifications like AWS Certified Database – Specialty are highly valuable. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These capabilities ensure reliable, scalable, and secure database solutions in dynamic cloud environments.

Digital Chemistry Specialist - Remote

micro1 AI

Athens, GA • Remote

$90 - $120/hr

Part-time

Posted 18 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.