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Remote Database Engineer Jobs in Alice, TX (NOW HIRING)

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Remote Database Engineer information

See Alice, TX salary details

$52.5K

$106K

$145.4K

How much do remote database engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote database engineer in Alice, TX is $106,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $121,500.00 per year, depending on experience, location, and employer.

What is a remote database engineer?

A Remote Database Engineer is a professional who designs, implements, maintains, and optimizes database systems while working from a location outside of a traditional office setting. Their responsibilities include ensuring database security, troubleshooting issues, managing backups, and improving performance, all while collaborating with other team members virtually. They often work with a range of database technologies such as SQL, NoSQL, and cloud-based solutions to support business applications and data needs.

How does a remote database engineer typically collaborate with development and operations teams to ensure database reliability?

As a Remote Database Engineer, you'll frequently coordinate with both development and operations teams through virtual meetings, collaborative platforms, and ticketing systems. Your main responsibilities include reviewing schema changes, optimizing queries, and troubleshooting performance issues alongside developers. You'll also work with operations staff to implement backup strategies, monitor database health, and ensure security compliance. Clear communication and proactive documentation are essential for seamless collaboration in a remote environment.

What are the key skills and qualifications needed to thrive as a remote database engineer, and why are they important?

To thrive as a Remote Database Engineer, you need strong expertise in database design, optimization, and management, typically supported by a degree in computer science or a related field. Familiarity with database platforms like MySQL, PostgreSQL, Microsoft SQL Server, and cloud-based systems, along with certifications such as Oracle Certified Professional or AWS Certified Database - Specialty, is highly valued. Excellent problem-solving, communication, and self-management skills are crucial for collaborating across distributed teams and maintaining system reliability. These skills and qualities are important to ensure secure, efficient, and scalable database solutions in a remote work environment.

What is the difference between Remote Database Engineer vs Remote Data Analyst?

AspectRemote Database EngineerRemote Data Analyst
Required CredentialsBachelor's in Computer Science, SQL, database certificationsBachelor's in Statistics, Data Science, SQL, Excel skills
Work EnvironmentDeveloping, maintaining, and optimizing databases remotelyAnalyzing data sets, creating reports remotely
Employer & Industry UsageTech, finance, healthcare companies managing data infrastructureMarketing, finance, consulting firms interpreting data trends

Remote Database Engineers focus on building and maintaining databases, requiring technical certifications and programming skills. Remote Data Analysts interpret data to inform business decisions, emphasizing analytical tools and reporting. Both roles are common in tech-driven industries and often overlap in data-related tasks, but they serve different core functions in data management and analysis.

What cities near Alice, TX are hiring for Remote Database Engineer jobs?

Cities near Alice, TX with the most Remote Database Engineer job openings:

Remote Database Engineer jobs near you

Bioinformatics Software Engineer

micro1 AI

Corpus Christi, TX • Remote

$80 - $110/hr

Part-time

Posted 20 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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