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Remote Python Data Engineer Jobs in Austin, TX (NOW HIRING)

Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/yr

... Python, Airflow, dbt, AWS and Snowflake. This is a fully remote position. Face to face ... data engineering * Strong SQL skills * Experience with ETL/ELT techniques * Strong sense for data ...

Data Engineer

Austin, TX ยท Remote

$58K - $83K/yr

Basic programming knowledge in Python and/or SQL * Understanding of data structures, databases, and ... United States remote opportunity * Video cameras must be used during all interviews, as well as ...

New

Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/yr

We are looking for a Data Engineer to take significant ownership in building Monte Carlo's cloud ... Python, PySpark, AWS Location Anywhere on the planet (we work remotely) What gets you excited ...

Senior Data Engineer

Austin, TX ยท Remote

$69K - $99K/yr

Design, develop, and maintain reliable ETL/ELT workflows using Databricks, Spark, and Python ... United States remote opportunity * Video cameras must be used during all interviews, as well as ...

Remote Sr. Data Engineer

Austin, TX ยท Remote

$105K - $142K/yr

Remote Sr. Data Engineer Senior Data Engineer Position Overview We are seeking a highly skilled ... Expertise in Python for data manipulation and pipeline development. * Familiarity with data lake ...

Senior Data Engineer, Data Platform

Austin, TX ยท On-site +1

$113K - $136K/yr

Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Senior Data Engineer, Data Platform

Austin, TX ยท Remote

$113K - $136K/yr

Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Senior Data Engineer, Data Platform

Austin, TX ยท Remote

$113K - $136K/yr

Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Data Engineer

Austin, TX ยท Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ... Python for pipeline development or data quality tooling is a plus. Hands-on experience with ...

Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data ... Progressive culture * 100% flexibility in living and working from anywhere you want * 100% remote ...

Senior Data Engineer

Austin, TX ยท On-site +1

$105K - $142K/yr

Expert knowledge of Python * Expert knowledge of SQL * Experience with DevOps mode of work * 7+ ... We offer a fully remote workspace, and we mean it. There is no pressure to work in an office ...

Cloud Data Engineer

Austin, TX ยท Remote

$55.25 - $73.75/hr

Open for Remote We are aggressively hiring Cloud Data Engineers with excellent background in Data Engineering and architecture. We need someone with strong Microsoft Cloud experience, including Azure ...

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Remote Python Data Engineer information

See Austin, TX salary details

$22.8K

$138.7K

$200.7K

How much do remote python data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote python data engineer in Austin, TX is $138,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $163,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python Data Engineer, and why are they important?

To thrive as a Remote Python Data Engineer, you need strong proficiency in Python, data modeling, and ETL pipeline development, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, SQL databases, cloud platforms (such as AWS or GCP), and certifications in data engineering are highly valuable. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills ensure efficient data processing, seamless teamwork across distributed environments, and the reliable delivery of scalable data solutions.

How do Remote Python Data Engineers typically collaborate with distributed teams to ensure smooth project delivery?

Remote Python Data Engineers work closely with cross-functional teams, including data scientists, analysts, and DevOps engineers, often using collaboration tools like Slack, Jira, and GitHub to coordinate work. Regular virtual meetings, clear documentation, and code reviews are essential for maintaining alignment and ensuring code quality. Emphasis is placed on asynchronous communication and well-structured version control practices to overcome time zone differences and keep projects on track. Adapting to these remote workflows is key for successful project delivery in a distributed environment.

What is a Remote Python Data Engineer?

A Remote Python Data Engineer is a professional who specializes in designing, building, and maintaining data pipelines and architectures, primarily using Python, while working from a location outside of a traditional office setting. They are responsible for collecting, transforming, and storing vast amounts of data to support analytics and business intelligence tasks. Their role often involves working with cloud platforms, databases, and big data technologies to ensure efficient data processing and accessibility for other teams. Remote Python Data Engineers collaborate with data scientists, analysts, and developers, leveraging Python's extensive libraries to automate workflows and solve complex data challenges.

What is the difference between Remote Python Data Engineer vs Remote Data Scientist?

AspectRemote Python Data EngineerRemote Data Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in CS, Statistics, Data Science certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, marketing agencies
Common Search & ComparisonYesYes

Remote Python Data Engineers focus on building and maintaining data pipelines and infrastructure using Python, while Remote Data Scientists analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within data teams.

What cities near Austin, TX are hiring for Remote Python Data Engineer jobs? Cities near Austin, TX with the most Remote Python Data Engineer job openings:

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Austin, TX โ€ข Remote

$45/hr

Part-time

Posted 22 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.