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Data Analyst Github Jobs in Washington (NOW HIRING)

PB consulting

GenAI Test Automation Engineer

Herndon, VA · On-site

$47.25 - $62.50/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Dunn Loring, VA

$46.25 - $61/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Brentwood, MD · On-site

$46.50 - $61.25/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Rosslyn, VA · On-site

$52.50 - $69.25/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Great Falls, VA · On-site

$46.50 - $61.50/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

New

PB consulting

GenAI Test Automation Engineer

Dulles, VA

$45.50 - $60.25/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Chantilly, VA · On-site

$47 - $62.25/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Alexandria, VA · On-site

$44.50 - $58.75/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Burke, VA

$45.50 - $60/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Garrett Park, MD · On-site

$47.50 - $62.75/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Merrifield, VA

$46 - $60.50/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Ashburn, VA

$47 - $62/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Oakton, VA

$46.75 - $61.50/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Kensington, MD · On-site

$48 - $63.25/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

New

PB consulting

GenAI Test Automation Engineer

Silver Spring, MD · On-site

$34.75 - $45.75/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

PB consulting

GenAI Test Automation Engineer

Takoma Park, MD · On-site

$47.25 - $62.50/hr

... data-driven testing) * Playwright (UI automation, selectors, parallel execution) * Knowledge of test strategy, coverage, regression testing, and defect analysis. GitHub & DevOps * Strong experience ...

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Showing results 21-40

All JobsData Analyst Github JobsData Analyst Github Jobs in Washington

Data Analyst Github information

See Washington salary details

$38.5K

$93.6K

$154K

How much do data analyst github jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analyst github in Washington is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

How does a data analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

What are the key skills and qualifications needed to thrive as a data analyst at GitHub, and why are they important?

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

What is a data analyst at GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

Is GitHub good for data analysts?

GitHub is a valuable tool for data analysts as it facilitates version control, collaboration, and sharing of data projects and code. Many data analysts use GitHub to showcase their work, collaborate with teams, and manage project documentation, often integrating it with tools like Jupyter notebooks and data visualization libraries.

What is the difference between Data Analyst Github vs Data Scientist?

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What are popular job titles related to Data Analyst Github jobs in Washington?

For Data Analyst Github jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Analyst Github jobs in Washington look for?

The top searched job categories for Data Analyst Github jobs in Washington are:

What cities in Washington are hiring for Data Analyst Github jobs?

Cities in Washington with the most Data Analyst Github job openings:

Data Analyst Github jobs near you
Infographic showing various Data Analyst Github job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.

GenAI Test Automation Engineer

PB consulting

Herndon, VA • On-site

$47.25 - $62.50/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development, agentic workflows, and intelligent test automation. The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks, and integrate Generative AI capabilities into software quality processes.

Required Qualifications
  • 5+ years of experience in AI development, software engineering, or test automation.
  • Hands-on experience building LLM-powered agents and agentic workflows.
  • Experience using Generative AI tools such as GitHub Copilot and Claude.
  • Strong knowledge of AI-driven test automation, workflow automation, and quality engineering practices.
  • Experience with GitHub platform, CI/CD workflows, and automation pipelines.
Key Responsibilities
  • Design and implement reusable agentic testing frameworks for automated test generation, maintenance, failure analysis, and defect reporting.
  • Develop AI-powered solutions for requirements validation, test case generation, and quality insights.
  • Build automated reporting solutions by aggregating test results, service data, logs, and defect information.
  • Create AI-based quality gates to validate requirements, acceptance criteria, test coverage, and dependencies.
  • Establish test automation standards, templates, and best practices across teams.
Required Technical Skills

GenAI / LLM / Agent Development

  • Experience building LLM-based agents with tool usage, structured outputs, guardrails, and prompt engineering.
  • Experience designing AI workflows for test generation, analysis, and reporting.

Automation & Testing

  • Strong experience with test automation frameworks such as:
    • Karate (API testing, contract testing, data-driven testing)
    • Playwright (UI automation, selectors, parallel execution)
  • Knowledge of test strategy, coverage, regression testing, and defect analysis.

GitHub & DevOps

  • Strong experience with:
    • GitHub Copilot
    • GitHub Actions
    • CI/CD automation
    • Pull request checks and workflow integrations
    • GitHub APIs/webhooks
Preferred Skills
  • Experience with microservices architectures.
  • Experience building AI-assisted engineering tools.
  • Knowledge of cloud platforms, DevOps practices, and Agile methodologies.
Deliverables
  • AI-powered agentic testing automation framework.
  • GenAI-driven reporting and quality insights.
  • Automated quality gates integrated into development workflows.
  • Standardized testing guidelines and reusable templates.

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