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Python Qa Automation Remote Jobs in Richmond, VA

Senior DevOps Engineer

Ruther Glen, VA · Remote

$133K - $170K/yr

Remote - DMV Position Summary We are seeking a highly skilled Senior DevOps / Cloud Engineer to ... Strong hands-on experience with automation and scripting using Ansible and Python. * Experience ...

... QA, and design teams in an Agile environment. This is a US-based, remote-friendly contract-to-hire opportunity for high-performing engineers. WHAT YOU WILL DO - Build and maintain full-stack ...

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 ...

Alteryx Engineer

Richmond, VA · Remote

$90 - $100/hr

Stefanini is looking for an Alteryx Engineer/Developer - Remote For quick apply, please contact ... The Alteryx Engineer is responsible for the full lifecycle of analytics automation and data ...

Audit Compliance Analyst

Richmond, VA · On-site +1

$125K/yr

Contract to Hire Onsite or Remote: Onsite Hybrid preferred - open to remote Location (if onsite ... Reduce manual effort through automation, standardization, and improved workflows for evidence ...

Showing results 21-40

Python Qa Automation Remote information

See Richmond, VA salary details

$13

$58

$85

How much do python qa automation remote jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python qa automation remote in Richmond, VA is $58.01, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 per hour, depending on experience, location, and employer.

What is a Python QA automation engineer (remote)?

A Python QA Automation Engineer (Remote) is a software professional who designs, develops, and executes automated tests to ensure the quality of software applications, using Python as the primary programming language. Working remotely, they collaborate with development and QA teams to create test scripts, identify bugs, and improve testing processes. Their work helps reduce manual testing efforts, increase test coverage, and ensure reliable software releases. Python QA Automation Engineers often use frameworks like Selenium, Pytest, or Robot Framework and require strong problem-solving skills and attention to detail.

What are the key skills and qualifications needed to thrive as a Python QA automation engineer (remote), and why are they important?

To thrive as a Python QA Automation Engineer, you need proficiency in Python programming, understanding of software testing principles, and experience with automated testing frameworks, often supported by a degree in computer science or related field. Familiarity with tools such as Selenium, PyTest, CI/CD systems like Jenkins, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for remote collaboration and problem-solving. These skills ensure the development of robust automated tests, efficient bug identification, and smooth teamwork in distributed environments.

What are some common challenges faced by remote Python QA automation engineers, and how can they be addressed?

Remote Python QA Automation engineers often navigate challenges such as collaborating effectively across different time zones, maintaining clear communication with development teams, and ensuring consistent test environment configurations. To address these, it's important to use robust collaboration tools (like Slack or Jira), set clear expectations for asynchronous communication, and leverage version control and containerization for consistent testing. Regular virtual meetings and thorough documentation also help foster strong teamwork and minimize misunderstandings.

What is the difference between Python Qa Automation Remote vs Python Test Automation Engineer?

AspectPython Qa Automation RemotePython Test Automation Engineer
CredentialsPython, QA, automation toolsPython, testing frameworks, automation tools
Work EnvironmentRemote, collaborative teamsRemote or on-site, tech companies
Industry UsageSoftware testing, QA departmentsSoftware development, QA teams
Search IntentQA automation jobs, remote testing rolesTest automation careers, Python testing jobs

Both roles focus on Python-based automation testing, often working remotely within software or tech companies. The main difference lies in the job titles: Python Qa Automation Remote emphasizes QA-specific tasks, while Python Test Automation Engineer may encompass broader testing responsibilities. Candidates should review job descriptions to determine the best fit based on skills and career goals.

What job categories do people searching Python Qa Automation Remote jobs in Richmond, VA look for?

The top searched job categories for Python Qa Automation Remote jobs in Richmond, VA are:

Infographic showing various Python Qa Automation Remote job openings in Richmond, VA as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $120,668 per year, or $58 per hour.

SENIOR AWS DATA-INTEGRATION AND DATA-QUALITY ENGINEER - Remote

Midlothian, VA • Remote

$108K - $130K/yr

Full-time

Posted 21 days ago


Job description

Axyde Analytics seeks a senior AWS data engineer to design and implement managed-service data-ingestion, transformation, quality, cataloging, and monitoring capabilities for a federal enterprise analytics platform.

Responsibilities
  • Establish and maintain secure connections to heterogeneous Government and public data sources.

  • Ingest structured, semi-structured, and unstructured information.

  • Configure Amazon S3, AWS Glue Data Catalog, Glue Crawlers, Athena, Step Functions, EventBridge, and approved managed data-preparation services.

  • Design reusable patterns for JDBC, Oracle, Red Hat/Linux, APIs, files, PDFs, scheduled feeds, and unscheduled uploads.

  • Incorporate Government-furnished Spark-compatible transformation logic into the approved architecture.

  • Implement schema inference, standardization, validation, lineage, quality controls, and exception handling.

  • Detect connection failures, schema changes, stale data, duplicates, prohibited data, and other quality issues.

  • Support daily refresh requirements and scalable onboarding of new data sources.

  • Produce technical documentation, runbooks, data dictionaries, and source-to-interface mappings.

  • Support the live technical demonstration and subsequent production transition.

Required Experience
  • Five or more years of senior AWS data-engineering experience.

  • Strong hands-on experience with S3, Glue, Athena, Step Functions, EventBridge, and AWS-native monitoring.

  • Experience integrating relational databases, APIs, documents, and mixed-format enterprise data.

  • Demonstrated experience with data quality, metadata management, schema evolution, lineage, and operational monitoring.

  • Familiarity with Spark, PySpark, JavaSpark, or Spark transformation patterns.

  • Experience in federal, regulated, or sensitive-data environments strongly preferred.

Architecture Constraint

Implementation must remain within Axyde’s approved AWS managed-service baseline. Candidates must not assume that custom Python, Lambda, containers, EC2, third-party libraries, or external integration platforms may be used.

Engagement

U.S. citizenship required. Remote within the United States with occasional travel. Immediate proposal and demonstration support may be available; longer-term work is contingent upon award.