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Data Analyst Github Jobs in Washington (NOW HIRING)

Creative IT Inc

Data Architect

Washington, DC · On-site

$72.25 - $92.75/hr

Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. * Experience performing root cause analysis on internal and external data and business ...

OneGlobe LLC

Senior Data Scientist

Washington, DC · On-site

Conceptualize research problems, design studies, and lead the development of advanced analytic and ... Git/GitHub, Jupyter, VS Code, Docker, Kubernetes. Clearance & Suitability U.S. Citizenship required.

SanKar Inc

GIS Analyst

Woodbridge, VA

... data flows. * Experience using SQL Developer, TOAD, SQLPlus, PyWin; and LucidChart, Visio, GitHub ... Ability to conduct advanced data analysis (spatial and tabular). * Ability to develop and maintain ...

Booz Allen Hamilton

Data Scientist

Washington, DC · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills to help create real-world impact. You'll work ... Knowledge of version control tools, including Git, GitLab, GitHub, or Bitbucket * Knowledge of ...

Booz Allen Hamilton

Data Scientist

Reston, VA · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills to help create real-world impact. You'll work ... Knowledge of version control tools, including Git, GitLab, GitHub, or Bitbucket * Knowledge of ...

eSimplicity

Senior Data Engineer

Columbia, MD · On-site

$132K - $151K/yr

Familiarity with DevOps methodologies, including CI/CD pipelines (GitHub Actions) and IaC ... AWS Data Analytics or AWS Solutions Architect certification Working Environment: eSimplicity ...

Kepora

Data Scientist

Potomac, MD

The Sponsor provides data-driven business analysis to support senior organizational leaders. The ... Github and Jenkins. 10. Demonstrated experience leveraging GPUs for accelerated computing. 11.

eSimplicity

Senior Data Engineer

Columbia, MD · On-site

$132K - $151K/yr

Familiarity with DevOps methodologies, including CI/CD pipelines (GitHub Actions) and IaC ... AWS Data Analytics or AWS Solutions Architect certification Working Environment: eSimplicity ...

JS Consulting

Data Scientist

Washington, DC · On-site

... data analytic, generative AI, symbolic AI, causal AI, operations research, computer science ... GitHub/GitLab. * Demonstrated experience using Tableau, or Kibana, Quicksights or other similar ...

J5 Consulting

Data Scientist

Mclean, VA · On-site

Introduction The Sponsor provides data-driven business analysis to support senior organizational ... Demonstrated professional or academic experience with version control systems such as Github and ...

VIVA USA INC

Senior Data Engineer - Onsite

Washington, DC · On-site

$129K - $155K/yr

Experience processing, analyzing, and integrating structured and unstructured data sources. Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub.

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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 Jun 12, 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 on 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 are Data Analysts on 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.

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 June 2026, with employment types broken down into 100% Full Time. Highlights an 69% In-person, and 31% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.
Data Architect

Data Architect

Creative IT Inc

Washington, DC • On-site

$72.25 - $92.75/hr

Other

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

Job description

About us:

Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II.

Join us in driving growth and seizing new business opportunities!

 

Position Description:

The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts andwill ensure optimal data delivery architecture is designed and developed. They must have aservice mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division’s data architecture to support our next generation of data initiatives

Required Skills:

The candidate shall also demonstrate the below knowledge and experience:

  • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division’s ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures.
  • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process.
  • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis.
  • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division’s research needs and data strategy. Translate division and section requirements into long-term information architecture solutions.
  • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata.
  • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization.
  • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes.
  • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance.
  •  Participate in the development of future-state data architecture standards, guidelines, and principles.

Specific Requirements and Skills:

  • Bachelor’s degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred.
  • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL.
  • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics.
  • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads.
  • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines.
  • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks.
  • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.
  • Experience migrating workflows and data pipelines between on-premises and cloud environments.
  • Experience processing, analyzing, and integrating structured and unstructured data sources.
  • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub.
  • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement.
  • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels.
  • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions.
  • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services.
  • Excellent oral and written communication skills with a strong customer service orientation.
  • Exceptional analytical, problem-solving, and troubleshooting skills.

Additional Desirable Skills/Experience Include:

  • Understanding of time series data and related analytical and forecasting techniques.
  • Experience working in a research environment and/or with economic or financial data.
  • Experience with NoSQL and graph database technologies.
  • Experience developing, training, deploying, and maintaining machine learning models.
  • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake.
  • Experience implementing data warehouses utilizing Change Data Capture (CDC)                   methodologies.
  • Experience implementing and maintaining CI/CD pipelines and DataOps platforms.Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. 

Apply