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Remote Python Automation Engineer Jobs in Petersburg, VA

Senior Software Engineer

Richmond, VA · Hybrid

$121K - $159K/yr

POSITION LOCATION New York, NY Richmond, VA A Hybrid schedule of both Remote and In-Office days ... automation, security scanning, and safe release patterns). * Support hosting, deployment, and ...

Security Architect - Consultant 9309

Richmond, VA · Remote

$66.50 - $86/hr

* Location: 100% Remote. -Security Architect - Consultant 9309 . Employment Type: W2 Only (No ... automation development using tools such as Python and Bash 5+ years of experience with Linux ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Senior Programmer/Analyst

Richmond, VA · On-site +1

$105K - $170K/yr

... Python. Previous use of Vaadin Framework is desired but not required. Knowledge of relational ... Automation and Technology. Requirements Help Conditions of employment Applicants must be United ...

Showing results 41-60

Remote Python Automation Engineer information

See Petersburg, VA salary details

$22.6K

$137.4K

$198.8K

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

As of Aug 18, 2026, the average yearly pay for remote python automation engineer in Petersburg, VA is $137,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $161,500.00 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 job categories do people searching Remote Python Automation Engineer jobs in Petersburg, VA look for?

The top searched job categories for Remote Python Automation Engineer jobs in Petersburg, VA are:

What cities near Petersburg, VA are hiring for Remote Python Automation Engineer jobs?

Cities near Petersburg, VA with the most Remote Python Automation Engineer job openings:

Infographic showing various Remote Python Automation Engineer job openings in Petersburg, VA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $137,380 per year, or $66 per hour.

Data Engineer, Finance Solutions, Google Cloud Platform

McKesson

Richmond, VA • On-site, Remote

$130K - $140K/yr

Full-time

Re-posted 15 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Data Engineer, Finance Solutions - Google Cloud Platform (GCP)

Are you a Data Engineer with hands-on experience building modern data solutions in Google Cloud Platform (GCP)? Do you want to play a leading role in a high-visibility enterprise cloud transformation while helping shape the future of Finance Data at McKesson?

McKesson Medical-Surgical (MMS) is seeking a highly skilled and motivated Data Engineer to join our Finance Solutions team. This is a critical individual contributor opportunity within our Finance Data & BI organization, where you will help lead the ongoing migration and modernization of our Finance data platforms to Google Cloud Platform (GCP).

This role is ideal for data engineers who enjoy building scalable Finance data solutions within cloud environments and solving complex business challenges through modern data engineering practices. This position is embedded within the Finance Data & BI organization and focuses on transforming financial data into trusted, analytics-ready assets that support reporting, forecasting, planning, automation, AI/ML initiatives, and strategic business decision-making.

Reporting to the Director, Finance Data & BI, you will partner closely with Finance, Business Intelligence, Data Product, Architecture, and Data Science teams to design, build, and optimize modern cloud-based Finance data solutions. Your work will directly influence the future-state Finance data ecosystem and play a significant role in McKesson's strategic investment in Google Cloud Platform.

Important: We are specifically seeking Data Engineers with experience designing, building, and supporting cloud-based data solutions, preferably within Google Cloud Platform (GCP) environments.

Compensation & Hybrid Expectations
  • Base: $130,000 to $140,000

  • 10% Annual Incentive

  • This position is based in Richmond, VA with 3 to 5 days in the office each month.

  • Preferred candidates must currently reside within a reasonable commuting distance (defined as within 60 miles of Richmond).

  • Relocation assistance is not available for this role.

Minimum Requirements
  • 4+ years of relevant experience

Targeted Experience & Critical Skills
  • 4+ years of technical and professional experience as a Data Engineer.

  • Demonstrated hands-on experience delivering production-scale data engineering solutions within Google Cloud Platform (GCP). While we are open to candidates with as little as 2+ years of GCP experience, this capability is considered highly critical to success in the role. The selected candidate will play a significant role in accelerating the migration and modernization of Finance data platforms to GCP. Candidates with proven GCP experience will be strongly preferred.

  • 4+ years of hands-on experience with data warehouse solutions, cloud platforms, relational databases, and data visualization or dashboarding tools.

  • 4+ years of experience working with structured and unstructured data in batch and real-time data processing environments.

  • Strong proficiency in object-oriented programming languages such as Python, Java, or C#.

  • Proven experience in an enterprise environment with:

    • Building and optimizing cloud-based data solutions

    • Supporting business-critical systems

    • Designing or supporting production-scale AI/ML data pipelines

    • Applying data governance by design

    • Data warehousing and ETL best practices

    • CI/CD and version control using GitHub

Additional Skills: (Nice to Have)
  • Experience with PySpark

  • Experience with Matillion or other modern ETL tools

  • Working knowledge of core financial data concepts (general ledger, chart of accounts, financial reporting)

  • Experience deploying SOXcompliant data solutions in a regulated enterprise

  • Experience with Oracle JD Edwards or familiarity with financial application data integrations and data flows

Key Responsibilities

Data Engineering & Architecture

  • Solve complex problems across the full data stack, from advanced data wrangling (SQL, Python, Spark, or similar) to delivering stakeholderready, productionscale data solutions

  • Design new architectures and reengineer existing ones, including optimized data structures, relational databases, and database code

  • Develop, construct, test, and maintain robust, scalable, and efficient ETL/ELT pipelines using modern cloud technologies that support advanced analytics and AI/ML workloads

  • Develop and maintain database code, including stored procedures, functions, and performanceoptimized transformations

  • Create and maintain ETL processes and contribute to CI/CD deployment workflows using GitHub Actions or similar tools

Optimization, Data Quality & Governance

  • Implement and optimize data models (e.g., dimensional modeling) within the Finance data environment

  • Optimize data architecture for performance, scalability, and cost efficiency across large financial datasets

  • Design and implement automated data quality checks, anomaly detection, and validation processes to ensure accuracy and trust in downstream analytics and AI use cases

  • Ensure all data solutions meet financial governance and compliance standards, including SOX requirements

Collaboration & Communication
  • Partner closely with Finance teams (Accounting, FP&A), BI, and Data Product partners to translate complex business requirements into scalable technical solutions

  • Communicate technical concepts clearly to nontechnical stakeholders, balancing innovation with operational risk and controls

  • Enable trusted data environments required for forecasting models, scenario planning, and AIdriven insights

  • Contribute to the strategic evolution of the Finance data platform by evaluating and piloting emerging tools and technologies

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$106,500 - $177,500

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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