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Part Time Remote Data Engineer Jobs in Raleigh, NC

Commercial Counsel

Durham, NC · Remote

$80 - $105/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Commercial Counsel

Raleigh, NC · Remote

$80 - $105/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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Part Time Remote Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Jun 21, 2026, the average yearly pay for part time remote data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

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 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 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 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 most commonly searched types of Remote Data Engineer jobs in Raleigh, NC? The most popular types of Remote Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Part Time Remote Data Engineer jobs in Raleigh, NC? For Part Time Remote Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Part Time Remote Data Engineer jobs in Raleigh, NC are:
Corporate Counsel (Tech & Privacy) - Remote

Corporate Counsel (Tech & Privacy) - Remote

micro1 AI

Durham, NC • Remote

$80 - $105/hr

Part-time

Posted 5 days ago


Job description

Job Title: Transactional Attorney


Job Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.



Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 3 years of in-house experience focused on technology transactions, particularly negotiating MSAs, NDAs, and DPAs.
  4. Exceptional written and verbal communication skills with meticulous attention to detail.
  5. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  6. Demonstrated commitment to innovation at the intersection of law and technology.
  7. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.