ZipRecruiter

Log In

3

Part Time Remote Data Engineer Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0242278 Location: Belcamp,MD,US Share job via: Share Additional ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241931 Location: Belcamp,MD,US Share job via: Share Additional ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0239684 Location: McLean,VA,US Share job via: Share Data Engineer The ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision ...

next page

Showing results 1-20

People also search for

All JobsPart Time Remote Data Engineer Jobs

Part Time Remote Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 19, 2026, the average yearly pay for part time remote data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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.
More about Part Time Remote Data Engineer jobs
What cities are hiring for Part Time Remote Data Engineer jobs? Cities with the most Part Time Remote Data Engineer job openings:
What are the most commonly searched types of Remote Data Engineer jobs? The most popular types of Remote Data Engineer jobs are:
What states have the most Part Time Remote Data Engineer jobs? States with the most job openings for Part Time Remote Data Engineer jobs include:
What job categories do people searching Part Time Remote Data Engineer jobs look for? The top searched job categories for Part Time Remote Data Engineer jobs are:
Part Time Remote Data Engineer jobs near you

Data Scientist (Part-Time | Remote | $60 -$100/hr)

Call For Referral

San Francisco, CA • Remote

$60 - $100/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist (Part-Time | Remote | $60 –$100/hr)

Call For Referral provided pay range

This range is provided by Call For Referral. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$60.00/hr - $100.00/hr

Direct message the job poster from Call For Referral

Helping AI Startups Hire 0→1 Founding Engineers & Product Talent | Backend & Infra | US & Europe

Exceptional Data Scientists

Hourly Contract | Part-Time Remote | $60–$100 per hour

1. About the Role

Mercor is partnering with one of the world's leading AI research labs to engage experienced Data Scientists in developing robust, high-performance systems that power next-generation machine learning applications.

In this role, you will perform hands‑on data science work — from experiment design and data preprocessing to model development, evaluation, and deployment. You will also play a key role in writing, reviewing, and validating prompt-based datasets that train AI systems to think and reason more effectively.

This is a remote, part‑time opportunity ideal for data scientists who thrive in research‑driven, highly technical environments.

2. Key Responsibilities
  • Design and execute data science experiments for AI model development and evaluation.
  • Collect, preprocess, and analyze structured and unstructured datasets.
  • Build and validate machine learning models using modern frameworks (TensorFlow, PyTorch, scikit‑learn, etc.).
  • Conduct feature engineering, data wrangling, and statistical inference for experimentation and model optimization.
  • Write, review, and validate prompt-based questions and tasks used to train advanced AI models.
  • Collaborate closely with engineering and research teams to deploy production‑ready solutions.
3. Ideal Qualifications
  • 3+ years of professional experience in data science or applied analytics.
  • Proficiency in Python (Jupyter Notebooks) and libraries such as NumPy, Pandas, SciPy, SymPy, scikit‑learn, TensorFlow, or PyTorch.
  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field from the U.S., Canada, U.K., Australia, or New Zealand.
  • Strong foundation in:
  • Exploratory data analysis and statistical inference
  • Machine learning workflows and model evaluation
  • Feature engineering, data preprocessing, and wrangling
  • A/B testing, experimentation, or causal inference
  • Excellent verbal and written communication skills.
  • Meticulous attention to detail and data quality.
4. More About the Opportunity
  • Commitment: 20 – 40 hours per week (with potential to scale up to 80)
  • Schedule: Fully remote and asynchronous — work on your own time
  • Duration: Minimum 1 month, with potential extension based on performance
  • Start Date: Early September (applications reviewed on a rolling basis)
5. Compensation & Contract Terms
  • Hourly Rate: $60–$100/hour (based on experience and region)
  • Payments: Weekly via Stripe Connect for services rendered
  • Terms: Flexible, based on location and expertise
6. Application Process
  • Submit your resume or portfolio to begin.
  • Complete a brief form outlining your technical background and agent usage experience.
  • Applications are reviewed continuously — selected candidates will be contacted for next steps.

⚡ PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity.

#J-18808-Ljbffr

Apply