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Remote Python Automation Engineer Jobs in Austin, TX

Huntington

MLOps Automation Senior Lead Engineer

Austin, TX · On-site +1

$103K - $135K/yr

... Python, Java), CI/CD tools (e.g., Jenkins, Artifactory, CircleCI, Ansible), and development ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

MLOps Automation Senior Lead Engineer

Austin, TX · On-site +1

$103K - $135K/yr

... Python, Java), CI/CD tools (e.g., Jenkins, Artifactory, CircleCI, Ansible), and development ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Python Automation Engineer information

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$22.8K

$138.7K

$200.7K

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

As of Sep 9, 2026, the average yearly pay for remote python automation 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 is a remote Python automation engineer?

A Remote Python Automation Engineer is a software professional who specializes in creating, maintaining, and improving automated processes and workflows using the Python programming language, all while working remotely. Their main responsibilities often include writing scripts to automate repetitive tasks, building test automation frameworks, integrating APIs, and optimizing system operations. They collaborate with teams virtually, making use of tools for version control, communication, and project management. This role requires strong Python skills, familiarity with automation tools like Selenium or PyTest, and the ability to work independently in a remote setting.

What are the key skills and qualifications needed to thrive as a remote Python automation engineer?

To thrive as a Remote Python Automation Engineer, you need strong programming skills in Python, expertise in automation frameworks, and a background in computer science or related fields. Familiarity with tools such as Selenium, PyTest, Jenkins, and cloud platforms, along with automation certifications, is often required. Exceptional problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These abilities ensure efficient automation solutions, seamless integration with development teams, and successful delivery of high-quality software projects.

How does a remote Python automation engineer typically collaborate with cross-functional teams in a remote work environment?

As a Remote Python Automation Engineer, you'll frequently interact with developers, QA analysts, DevOps teams, and project managers using collaborative tools such as Slack, Jira, and GitHub. Effective communication is crucial for aligning on automation requirements, debugging issues, and deploying solutions. You'll often participate in virtual meetings, code reviews, and sprint planning sessions to ensure your automation scripts integrate seamlessly with broader workflows. Proactive documentation and regular updates help maintain transparency and foster smooth teamwork despite the physical distance.

What is the difference between Remote Python Automation Engineer vs Remote QA Automation Engineer?

AspectRemote Python Automation EngineerRemote QA Automation Engineer
Required CredentialsBachelor's in CS or related, Python proficiency, automation tools knowledgeBachelor's in CS or related, testing frameworks, scripting skills, Python often preferred
Work EnvironmentDevelops automation scripts, collaborates with development teams, uses Python-based toolsDesigns test cases, automates testing processes, uses testing frameworks and scripting
Employer & Industry UsageTech companies, software development, DevOps teamsSoftware companies, QA teams, product testing environments

The main difference is that Remote Python Automation Engineers focus on developing automation solutions using Python to streamline development and deployment processes, while Remote QA Automation Engineers concentrate on automating testing procedures to ensure software quality. Both roles require Python skills but serve different stages of the software lifecycle.

What are the most commonly searched types of Python Automation Engineer jobs in Austin, TX?

The most popular types of Python Automation Engineer jobs in Austin, TX are:

What are popular job titles related to Remote Python Automation Engineer jobs in Austin, TX?

For Remote Python Automation Engineer jobs in Austin, TX, the most frequently searched job titles are:

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The top searched job categories for Remote Python Automation Engineer jobs in Austin, TX are:

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Cities near Austin, TX with the most Remote Python Automation Engineer job openings:

Remote Python Automation Engineer jobs near you

Data and Automation Engineer - Python

Austin, TX • Remote

Plum Inc
See more jobs at Plum Incexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

About the Role

We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation. 

You'll be responsible for building scalable data pipelines, integrating data from multiple SaaS platforms, developing automation that powers lead generation and enrichment, and leveraging AI to dramatically accelerate development. You'll work with modern technologies including Python, Databricks, and LLM-powered tools to build solutions that directly impact business growth.

This role is ideal for someone who enjoys building, experimenting with new technologies, and continuously finding better and faster ways to solve problems.

Responsibilities
  • Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
  • Develop Python-based automation for data collection, transformation, validation, and workflow orchestration.
  • Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
  • Integrate and process data from multiple SaaS platforms through REST APIs and other integrations.
  • Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence.
  • Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching.
  • Process structured, semi-structured, and JSON data from a variety of internal and external sources.
  • Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions.
  • Identify opportunities to automate repetitive processes and improve operational efficiency.
  • Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.

Requirements

Technical Skills
  • 3–7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field.
  • Strong Python programming skills with experience in data processing, automation, and API integrations.
  • Experience with Databricks, PySpark, SQL, and Delta Lake.
  • Experience integrating and processing data from multiple SaaS platforms via APIs.
  • Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching.
  • Experience working with structured, semi-structured, and JSON data.
  • Familiarity with Git and modern software development practices.
  • Undergraduate Degree in Computer Science, Engineering, Physics or other relevant degree
AI & Productivity
  • Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants.
  • Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity.
  • Comfortable rapidly prototyping, testing, and iterating using AI-assisted development.
Preferred Qualifications
  • Hands-on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools.
  • Experience with CRM platforms such as Salesforce or HubSpot.
  • Familiarity with LLM APIs and AI-powered applications.
  • Experience working in fast-paced startup environments.
  • Strong communication skills with the ability to work cross-functionally and take ownership from concept through delivery.

Plum AI, Inc looks forward to applicants from US based candidates. We are not working with outside recruiters. We appreciate individual, not AI generated, applications. We may disqualify applicants who use AI in any part of the interview process.

Benefits

What We Offer:
  • A fast-paced, collaborative startup culture with high visibility.
  • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. 
  • Opportunity to make a meaningful impact in building a company and culture. 
  • Equity in a financial technology startup. 
  • Generous health, dental, and vision coverage for employees and family members + 401K.
  • Eleven paid holidays and unlimited discretionary vacation days.
  • Competitive compensation and bonus potential.