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Remote Cloud Database Engineer Jobs in Slidell, LA

micro1 AI

Bioinformatics Software Engineer

New Orleans, LA · Remote

$80 - $110/hr

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

OST INC

Sr COBOL Programmer

New Orleans, LA · Remote

$83K/yr

... Sr. COBOL Programmer (Remote) Description of specific duties in a typical workday for this ... Performing data cleansing on database tables. Occasional activities include: * Researching and ...

Deloitte

Epic Denials Management Operator

New Orleans, LA · Remote

$17.25 - $23/hr

... cloud infrastructure. These solutions are powered by engineering for business advantage ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

JLL

Data Collection Specialist II

New Orleans, LA · Remote

Logging information into a client database. * Must adhere to client site visit protocols. * Travel ... Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ...

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Remote Cloud Database Engineer information

See Slidell, LA salary details

$52.4K

$105.8K

$145.2K

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

As of Aug 14, 2026, the average yearly pay for remote cloud database engineer in Slidell, LA is $105,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,200.00 and $121,300.00 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.

What cities near Slidell, LA are hiring for Remote Cloud Database Engineer jobs?

Cities near Slidell, LA with the most Remote Cloud Database Engineer job openings:

Remote Cloud Database Engineer jobs near you

Bioinformatics Software Engineer

micro1 AI

New Orleans, LA • Remote

$80 - $110/hr

Part-time

Posted 11 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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