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Part Time Remote Azure Data Engineer Jobs (NOW HIRING)

This is a remote position. Overview : / Key Responsibilities ... Design and implement end-to-end data architectures using Azure-native services such as Azure Data ...

Applied AI Engineer (Part-Time, Remote - U.S.) Innovation is at the heart of what we do. At ... Collaborate closely with product, engineering, and data science teams to rapidly prototype and ship ...

Junior Data Entry Clerk / Part Time

Austin, TX ยท Remote

$16.75 - $22.50/hr

Junior Data Entry Clerk (Part-Time, Remote) Are you ready to kickstart your career in the dynamic world of data entry? We're on the lookout for a talented Junior Data Entry Clerk to join our growing ...

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Part Time Remote Azure Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jul 13, 2026, the average yearly pay for part time remote azure 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 Azure Data Engineer vs Part Time Remote Data Analyst?

AspectPart Time Remote Azure Data EngineerPart Time Remote Data Analyst
Required CredentialsAzure certifications, SQL, data engineering skillsData analysis certifications, SQL, Excel skills
Work EnvironmentCloud platforms, data pipelines, Azure toolsData visualization, reporting, Excel, SQL
Employer & Industry UsageTech, finance, healthcare using Azure cloudMarketing, retail, finance analyzing data trends

While both roles involve working with data remotely on a part-time basis, the Azure Data Engineer focuses on building and maintaining data pipelines using Azure cloud services, requiring technical certifications. The Data Analyst primarily interprets data and creates reports, often using Excel and visualization tools. Their skills and daily tasks differ, but both are essential in data-driven industries.

What cities are hiring for Part Time Remote Azure Data Engineer jobs? Cities with the most Part Time Remote Azure Data Engineer job openings:
What are the most commonly searched types of Remote Azure Data Engineer jobs? The most popular types of Remote Azure Data Engineer jobs are:
What states have the most Part Time Remote Azure Data Engineer jobs? States with the most job openings for Part Time Remote Azure Data Engineer jobs include:

Senior Python Data Scraping Engineer (Freelance)

Mindrift

New York, NY โ€ข Remote

$45/hr

Part-time

Re-posted 17 days ago


Job description

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable 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 AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

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 various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities:

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • 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.

Requirements:

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