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Part Time Remote Data Engineer Jobs in Austin, TX

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

General Counsel - Remote

Round Rock, TX ยท Remote

$90 - $130/hr

We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Commercial Counsel - Remote

Austin, TX ยท Remote

$90 - $130/hr

We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

General Counsel - Remote

Georgetown, TX ยท Remote

$90 - $130/hr

We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

AI Legal Counsel - Remote

Round Rock, TX ยท Remote

$90 - $130/hr

We are seeking seasoned in-house transactional attorneys for a part-time role at the forefront of ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Legal AI Trainer - Remote

Georgetown, TX ยท Remote

$90 - $150/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

AI Legal Counsel - Remote

Austin, TX ยท Remote

$90 - $130/hr

We are seeking seasoned in-house transactional attorneys for a part-time role at the forefront of ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Legal AI Trainer - Remote

Round Rock, TX ยท Remote

$90 - $150/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Showing results 41-60

Part Time Remote Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do part time remote data engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for part time remote data engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a part time remote data engineer?

A Part Time Remote Data Engineer is a professional who designs, builds, and maintains data infrastructure and pipelines for organizations while working remotely and on a part-time schedule. Their responsibilities often include data integration, data cleansing, and ensuring efficient data flow between systems. Working remotely allows them to collaborate with teams using online tools and platforms, and the part-time nature of the job provides flexibility in work hours. This role is ideal for individuals seeking work-life balance or those with other commitments.

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

To thrive as a Part Time Remote Data Engineer, you need proficiency in data modeling, SQL, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), ETL tools, and data pipeline orchestration systems is often required, along with certifications like AWS Certified Data Analytics being advantageous. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for collaborating with distributed teams. These skills ensure reliable data infrastructure, seamless project execution, and effective teamwork despite a flexible, remote work environment.

What are some common challenges faced by part time remote data engineers, and how can they be addressed?

Part-time remote data engineers often encounter challenges such as managing communication across different time zones, staying synchronized with full-time team members, and maintaining access to secure data environments. To address these, it's important to establish clear communication channels, set consistent work hours, and use collaboration tools like Slack or Jira to stay aligned with project goals. Additionally, proactively documenting your work and regularly updating your team can help ensure smooth workflows and project continuity.

What is the difference between Part Time Remote Data Engineer vs Part Time Remote Data Analyst?

AspectPart Time Remote Data EngineerPart Time Remote Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, startups, finance, healthcareMarketing agencies, research firms, retail
Common Search & ComparisonYesYes

Part Time Remote Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data, create reports, and support decision-making. While both roles work remotely and require data-related credentials, Data Engineers handle backend data systems, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Remote Data Engineer jobs in Austin, TX?

The most popular types of Remote Data Engineer jobs in Austin, TX are:

What are popular job titles related to Part Time Remote Data Engineer jobs in Austin, TX?

For Part Time Remote Data Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Data Engineer jobs in Austin, TX look for?

The top searched job categories for Part Time Remote Data Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Part Time Remote Data Engineer jobs?

Cities near Austin, TX with the most Part Time Remote Data Engineer job openings:

Infographic showing various Part Time Remote Data Engineer job openings in Austin, TX as of September 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Bioinformatics Software Engineer

Georgetown, TX โ€ข Remote

micro1 AI
Software Developmentย โ€ขย 11 - 50 employees

$80 - $110/hr

Part-time

Re-posted 13 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.