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Remote Data Platform Engineer Jobs in Mobile, AL

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... discovery platforms. * Evaluate compound-target interactions, ADMET properties, and lead ...

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... engineered from the ground up to be agile and seamless, ensuring that our clients have a platform ...

... discovery platforms. * Evaluate compound-target interactions, ADMET properties, and lead ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Cheminformatics Specialist - Remote

Mobile, AL ยท On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis ...

Contract IIB Developer 100% remote, Eastern time zone Candidate 6 months need pure commercial ... Experience in writing rules for data interchange in ESQL. * Expert level knowledge in IIB, MQ ...

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

High Level Engineer - Controls

Mobile, AL ยท On-site +1

$82K - $107K/yr

This position is REMOTE and can be located anywhere within the US. How you will do it Under general ... Coordinates pre-bid and pre-book estimate reviews and manages the project cost data through the ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis ...

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Remote Data Platform Engineer information

See Mobile, AL salary details

$44.2K

$128.7K

$176.1K

How much do remote data platform engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data platform engineer in Mobile, AL is $128,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $136,400.00 per year, depending on experience, location, and employer.

What is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

What are the key skills and qualifications needed to thrive as a remote data platform engineer?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are popular job titles related to Remote Data Platform Engineer jobs in Mobile, AL?

For Remote Data Platform Engineer jobs in Mobile, AL, the most frequently searched job titles are:

What job categories do people searching Remote Data Platform Engineer jobs in Mobile, AL look for?

The top searched job categories for Remote Data Platform Engineer jobs in Mobile, AL are:

What cities near Mobile, AL are hiring for Remote Data Platform Engineer jobs?

Cities near Mobile, AL with the most Remote Data Platform Engineer job openings:

Bioinformatics Software Engineer

micro1 AI

Mobile, AL โ€ข Remote

$80 - $110/hr

Part-time

Posted 15 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 customerโ€™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 โ€” 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, Schrรถdinger, 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.