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Freelance Summer Data Engineer Jobs (NOW HIRING)

Space44

Engineer / Developer - Freelance (Remote)

You'll be among the first we reach out to when new freelance opportunities go live. Key ... Designing ETL pipelines and data architecture * Implementing test automation frameworks * Securing ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

You will be working side by side with our experienced data engineers and you'll receive ongoing feedback and coaching from a dedicated mentor throughout the summer. Our internship program is the ...

GMV

Big Data engineer

Naples, NC · On-site +1

$53.25 - $70.50/hr

We are an engineering and innovation company working in different areas. Within the IT sector we ... We have flexible hours and intensive working hours during the summer months. In addition, you can ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

You will be working side by side with our experienced data engineers and you'll receive ongoing feedback and coaching from a dedicated mentor throughout the summer. Our internship program is the ...

Throtle

Big Data Engineer

Red Bank, NJ · On-site

$130K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... a Big Data Developer. In this role, you will be part of the team that is responsible for ... Half Day Summer Fridays (close at 1 p.m. Memorial Day to Labor Day). * Early Fridays (office closes ...

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Freelance Summer Data Engineer information

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How much do freelance summer data engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for freelance summer data engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a freelance summer data engineer?

Freelance summer data engineers are professionals who work independently on data engineering projects, typically during the summer months. They design, build, and maintain data pipelines, databases, and data processing systems for clients on a contract basis. Their work often involves extracting, transforming, and loading data (ETL), optimizing data workflows, and ensuring data quality. Because they are freelancers, they have flexibility in choosing projects and clients, and they may work remotely or on-site as needed. Summer positions are common for companies with seasonal data needs or students seeking experience during their break.

What skills and qualifications are needed to thrive as a freelance summer data engineer?

To thrive as a Freelance Summer Data Engineer, you need strong programming skills (such as Python or SQL), data modeling expertise, and a solid understanding of database systems, often supported by a technical degree or relevant certifications. Familiarity with cloud platforms (like AWS or Google Cloud), ETL tools, and big data frameworks (such as Spark or Hadoop) is typically required. Excellent problem-solving, self-management, and communication skills set top freelancers apart, enabling effective remote collaboration with clients. These skills ensure you can deliver reliable, scalable data solutions within tight project timelines and adapt to diverse client needs.

What are common challenges faced by freelance summer data engineers, and how can they be addressed?

Freelance summer data engineers often encounter challenges such as aligning quickly with a client's existing data infrastructure, managing varying project scopes, and adapting to different team communication styles. To address these, it's important to establish clear project requirements early, schedule regular check-ins with stakeholders, and leverage collaborative tools for documentation and version control. Building strong communication channels and proactively seeking feedback will also help ensure your work aligns with client expectations and project timelines.

What is the difference between Freelance Summer Data Engineer vs Freelance Data Analyst?

AspectFreelance Summer Data EngineerFreelance Data Analyst
Required SkillsData engineering, SQL, ETL, cloud platformsData analysis, Excel, SQL, visualization tools
Work EnvironmentProject-based, remote or on-site during summerProject-based, remote or on-site during summer
Industry UsageTech, finance, healthcareMarketing, retail, finance

Freelance Summer Data Engineers focus on building data pipelines and managing data infrastructure, while Freelance Data Analysts interpret data and create reports. Both roles are project-based and often remote during summer, but they require different skill sets and serve different functions within organizations.

What cities are hiring for Freelance Summer Data Engineer jobs?

Cities with the most Freelance Summer Data Engineer job openings:

What are the most commonly searched types of Summer Data Engineer jobs?

The most popular types of Summer Data Engineer jobs are:

What states have the most Freelance Summer Data Engineer jobs?

States with the most job openings for Freelance Summer Data Engineer jobs include:

Freelance Summer Data Engineer jobs near you

Senior Python Data Scraping Engineer (Freelance)

Mindrift

San Antonio, TX • Remote

$45/hr

Part-time

Re-posted 22 days ago

Job description

Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do 

The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Educational qualifications

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (Essential)

  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)

Additional requirements

  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation 

On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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