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Remote Python Automation Engineer Jobs in Leesburg, VA

Anika Systems

Quality Assurance Engineer

Leesburg, VA · On-site +1

... 100% remote. Key Responsibilities Test Automation & QA Engineering * Design, develop, and maintain automated QA frameworks for data pipelines, APIs, and analytics platforms using Python and SQL.

Anika Systems

Quality Assurance Engineer

Leesburg, VA · Remote

... 100% remote. Key Responsibilities Test Automation & QA Engineering * Design, develop, and maintain automated QA frameworks for data pipelines, APIs, and analytics platforms using Python and SQL.

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Role: AI/ML Engineer The AI/ML Engineer is the architect and guardian of intelligent automation ... Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain)

Constellis

DevOps Engineer

VA · On-site +1

$55.75 - $76.25/hr

Work is typically based in a remote office environment and subject to frequent interruptions ... Python, or PowerShell. * Hands-on experience withCI/CD pipelines and deployment automation.

System One

Oracle Cloud Integration Engineer

Vienna, VA · Remote

$57 - $76.25/hr

Hybrid - 3 days onsite, rest remote Overview Seeking a Senior API Developer with strong experience ... Utilize programming skills in Java, Python, Kafka, and PowerShell scripting languages * Participate ...

System One

Oracle Cloud Integration Engineer

Vienna, VA · Remote

$57 - $76.25/hr

Hybrid - 3 days onsite, rest remote Overview Seeking a Senior API Developer with strong experience ... Utilize programming skills in Java, Python, Kafka, and PowerShell scripting languages * Participate ...

asrcfh

Geospatial Front-End Developer

Reston, VA · Remote

Remote Responsibilities • Develop, enhance, and maintain front-end geospatial web applications ... for Python) for data loading, automation routines, and system administration workflows. • ...

asrcfh

Geospatial Front-End Developer

Reston, VA · Remote

Remote Responsibilities • Develop, enhance, and maintain front-end geospatial web applications ... for Python) for data loading, automation routines, and system administration workflows. • ...

Eliassen Group

DevOps Software Engineer

Gaithersburg, MD · Remote

$45 - $50/hr

Deep experience with Ansible automation and ecosystem. * Strong Python scripting and tool ... Onsite presence required; remote work not applicable. Education Requirements: * Bachelor's degree ...

Constellis

DevOps Engineer

VA · On-site +1

$55.75 - $76.25/hr

Work is typically based in a remote office environment and subject to frequent interruptions ... Python, or PowerShell. * Hands-on experience with CI/CD pipelines and deployment automation.

ShorePoint

DevSecOps Engineer

Herndon, VA · Remote

$54 - $74/hr

System automation languages such as Python, Bash and use of editors like VSCode. * IT operations ... Remote (Herndon, VA)

SAIC

DevOps Engineer

Reston, VA · On-site +1

$240K - $280K/yr

None Potential for Remote Work: ORA_ON_SITE Description QVine, an SAIC company is seeking an ... Design and implement infrastructure automation using Terraform and Packer, promoting reproducible ...

Credence

Cloud Platform Engineer

Mclean, VA · Remote

$56.25 - $75.25/hr

Proficiency with scripting or automation using Shell, PowerShell, Python, or JavaScript * Ability ... Experience with Terraform modules, remote state, workspaces, and reusable IaC patterns * Experience ...

GRVTY

Data & Software Engineer

Mclean, VA · Remote

$115K - $139K/yr

The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn ... Experience using Bash scripting for automation and data processing tasks * Experience integrating ...

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Showing results 1-20

All JobsPython Automation Engineer JobsRemote Python Automation Engineer JobsRemote Python Automation Engineer Jobs in Leesburg, VA

Remote Python Automation Engineer information

See Leesburg, VA salary details

$23.3K

$141.6K

$204.8K

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

As of Jul 22, 2026, the average yearly pay for remote python automation engineer in Leesburg, VA is $141,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $166,400.00 per year, depending on experience, location, and employer.

How does a Remote Python Automation Engineer typically collaborate with cross-functional teams, given the 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 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, and why are they important?

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.
What are popular job titles related to Remote Python Automation Engineer jobs in Leesburg, VA? For Remote Python Automation Engineer jobs in Leesburg, VA, the most frequently searched job titles are:
What job categories do people searching Remote Python Automation Engineer jobs in Leesburg, VA look for? The top searched job categories for Remote Python Automation Engineer jobs in Leesburg, VA are:
What cities near Leesburg, VA are hiring for Remote Python Automation Engineer jobs? Cities near Leesburg, VA with the most Remote Python Automation Engineer job openings:
Remote Python Automation Engineer jobs near you
Infographic showing various Remote Python Automation Engineer job openings in Leesburg, VA as of June 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $141,577 per year, or $68.1 per hour.
Quality Assurance Engineer

Quality Assurance Engineer

Anika Systems

Leesburg, VA • On-site, Remote

Full-time

Posted 29 days ago

Job description

Anika Systems is seeking a highly technical Quality Assurance Engineer with strong development, SQL, and Python expertise to support enterprise data platforms for federal clients. This is not a traditional manual QA role and this position requires a developer mindset, focused on automation, data validation, and platform reliability across modern cloud-based architectures.
The ideal candidate will design and implement automated testing frameworks for ETL pipelines, Apache Iceberg data architectures, XBRL datasets, and performance-optimized structures such as materialized views-ensuring data accuracy, integrity, and trust across the enterprise. This role also requires proficiency in AI tools and AI-driven workflows, leveraging automation and intelligent testing techniques to improve quality and delivery speed.
This opportunity is 100% remote.
Key Responsibilities
Test Automation & QA Engineering
  • Design, develop, and maintain automated QA frameworks for data pipelines, APIs, and analytics platforms using Python and SQL.
  • Build reusable testing utilities for data validation, regression testing, and pipeline certification.
  • Integrate automated tests into CI/CD pipelines to support continuous testing and deployment.
  • Develop unit, integration, and end-to-end test cases for complex data workflows.
  • Leverage AI-assisted testing tools to generate test cases, identify edge cases, and improve test coverage.
Data Validation & ETL Testing
  • Validate ETL/ELT pipelines to ensure accurate ingestion, transformation, and delivery of data.
  • Create automated checks for data completeness, consistency, accuracy, and timeliness.
  • Test ingestion and transformation of complex datasets, including XBRL financial data.
  • Implement reconciliation and audit mechanisms across source-to-target mappings.
  • Apply AI-driven anomaly detection to identify data quality issues and pipeline failures.
Iceberg & Materialized View Testing
  • Develop and execute test strategies for Apache Iceberg-based data lakehouse architectures, including:
    • Schema evolution validation
    • Time travel and versioning accuracy
    • Partitioning and performance behavior
  • Validate and compare materialized views vs. Iceberg table performance and consistency, including:
    • Query performance benchmarking
    • Data freshness and latency
    • Storage efficiency and maintenance overhead
  • Ensure alignment between precomputed datasets (materialized views) and underlying source data.
Data Quality, Metadata & Context Validation
  • Implement automated validation for data quality rules, lineage, and metadata accuracy.
  • Support context engineering by validating that datasets include proper business context, definitions, and relationships.
  • Integrate QA processes with enterprise data catalogs and metadata systems to ensure discoverability and trust.
  • Validate AI-generated metadata, lineage, and transformations for accuracy and traceability.
AI-Driven Quality Engineering
  • Apply AI/ML and generative AI tools to enhance QA processes, including intelligent test generation, defect prediction, and automated root cause analysis.
  • Validate data readiness for AI/ML and generative AI use cases, ensuring datasets meet quality, completeness, and governance standards.
  • Collaborate with data and AI teams to test data pipelines supporting RAG, analytics, and machine learning workflows.
  • Ensure alignment with responsible AI practices, including traceability, explainability, and data integrity.
OCDO & Data Strategy Support
  • Support enterprise data management programs and OCDO initiatives by ensuring data quality and reliability across systems.
  • Contribute to data maturity assessments by evaluating data quality, testing coverage, and governance adherence.
  • Align QA processes with Federal Data Strategy and Evidence Act requirements.
Stakeholder Collaboration & Agile Delivery
  • Work closely with data engineers, data architects, and analysts to define test strategies and acceptance criteria.
  • Participate in stakeholder engagement sessions and listening campaigns to understand data quality expectations and pain points.
  • Document test results, defects, and quality metrics for both technical and non-technical stakeholders.
  • Operate within Agile teams to iteratively improve data quality processes and tooling.
  • Promote adoption of AI-driven efficiencies and automation across QA and data engineering workflows.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • 5+ years of experience in QA engineering, data testing, or software development.
  • Strong programming skills in Python and advanced proficiency in SQL.
  • Experience building automated test frameworks for data platforms and ETL pipelines.
  • Hands-on experience with:
    • AWS data services (S3, Glue, Redshift, Lambda, etc.)
    • Apache Iceberg or similar data lake technologies
  • Experience validating materialized views and performance-optimized data structures.
  • Familiarity with XBRL or complex financial/regulatory datasets.
  • Understanding of data modeling, metadata, and data governance principles.
  • Experience with CI/CD tools and automated testing integration.
  • Demonstrated proficiency with AI tools and AI-assisted development/testing workflows.
  • Understanding of data quality requirements for AI/ML and analytics use cases.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Preferred Qualifications
  • Experience supporting federal agencies such as SEC, DHS, Treasury, or Federal Reserve System.
  • Familiarity with data catalog and governance tools (e.g., Collibra, Alation, ServiceNow).
  • Experience with Apache Spark or distributed data processing frameworks.
  • Knowledge of data quality tools and observability platforms.
  • Exposure to data maturity frameworks (e.g., EDM DCAM, TDWI).
  • Experience testing large-scale cloud data platforms and lakehouse architectures.
  • Experience validating data pipelines supporting AI/ML, analytics, or generative AI solutions.
  • Familiarity with AI-driven testing tools or frameworks.

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