Analytic Notebook Developer

Disruptive Solutions, LLC; Vienna, Northern (VA, KY); On-site; USD 90,000 - 120,000; Full time

Job summary

Disruptive Solutions, LLC in Vienna, VA is seeking a data analytics notebook engineer to develop and maintain analytic notebooks for analysts and mission users. You will combine data analysis, software development, and customer support in large-scale data environments.

The role emphasizes Python, Spark/PySpark, SQL, and collaboration with data engineers, scientists, and customers to deliver practical technical solutions. Hybrid onsite 2 days/week with a Secret clearance preferred.

Qualifications

• Experience with analytic notebooks using Python and Jupyter or similar environments.
• Proficient with Spark/PySpark and large-scale data processing.
• Strong SQL and data manipulation skills.
• Experience with Pandas, NumPy or similar analysis tools.
• Background in data analytics, data science, software development, or related technical discipline.
• Ability to investigate problems and develop solutions independently.
• Strong communication and ability to work with technical and non-technical users.
• Experience documenting technical solutions, code, and processes.

Responsibilities

• Develop, maintain, and enhance analytic notebooks supporting mission requirements.
• Build data analysis and processing capabilities using Python, Spark/PySpark, SQL.
• Work with large datasets to support analytical use cases.
• Troubleshoot notebook issues as first-line support for users.
• Collaborate with users to understand requirements and develop technical solutions.
• Assist users with notebook functionality, data access, and query development.
• Perform exploratory data analysis and apply data science techniques.
• Develop reusable code and analytic components to improve efficiency.
• Troubleshoot performance, processing, and integration issues.
• Maintain clear documentation for notebooks, data sources, and workflows.
• Collaborate with developers, data engineers, data scientists, analysts, and stakeholders.
• Identify opportunities to improve tools and automate processes.
• Support testing, validation, and deployment of notebook capabilities.

Skills

Strong communication

Independent problem solving

Documentation

Tools

Python

Jupyter

Spark/PySpark

SQL

Pandas

NumPy

Job description

Vienna, United States | Posted on 09/14/2026

Location:Vienna Va, Hybrid onsite 2 days a week
Clearance Requirement:Active Secret Clearance
Employment Type:Full Time

About Company

Disruptive Solutions, a Service-Disabled Veteran-Owned Small Business (SDVOSB) delivering mission-focused cybersecurity and technology solutions for federal and commercial clients. We specialize in advanced cybersecurity operations, AI/ML integration, cloud modernization, data governance, and risk management. With a proven track record supporting agencies like the Department of Defense (DoD), Department of Homeland Security (DHS), Cybersecurity and Infrastructure Security Agency (CISA), and the Department of Treasury, we deliver innovative solutions that maximize efficiency and strengthen cyber resilience. At our core, we are dedicated partners committed to securing the mission with innovation, integrity, and measurable impact.

Job Summary

Support the development, maintenance, and enhancement of analytic notebooks used by analysts and mission users, combining data analysis, software development, and customer support in large-scale data environments.

Key Responsibilities

• Develop, maintain, and enhance analytic notebooks supporting mission requirements.
  
• Build data analysis and processing capabilities using Python, Spark/PySpark, SQL, and related technologies.
  
• Work with large and complex datasets to support analytical use cases.
  
• Serve as a first line of support for notebook users by troubleshooting technical and data-related issues.
  
• Work directly with users to understand requirements, identify problems, and develop practical technical solutions.
  
• Assist users with notebook functionality, data access, query development, and analytic workflows.
  
• Perform exploratory data analysis and apply data science techniques where appropriate.
  
• Develop reusable code, functions, and analytic components to improve notebook efficiency and usability.
  
• Troubleshoot notebook performance, data processing, integration, and application issues.
  
• Maintain clear technical documentation for developed notebooks, processes, data sources, and user workflows.
  
• Collaborate with developers, data engineers, data scientists, analysts, and customer stakeholders.
  
• Identify opportunities to improve existing analytic tools and automate manual or repetitive processes.
  
• Support testing, validation, and deployment of new or updated notebook capabilities.
  

Required Qualifications

• Experience developing analytic notebooks using Python and Jupyter or similar notebook environments.
  
• Experience with Spark/PySpark and large-scale data processing.
  
• Strong SQL and data manipulation skills.
  
• Experience using libraries such as Pandas, NumPy, or similar data analysis tools.
  
• Background in data analytics, data science, software development, or a related technical discipline.
  
• Ability to investigate technical problems and develop solutions independently.
  
• Strong communication skills with the ability to work directly with technical and non-technical users.
  
• Experience documenting technical solutions, code, processes, and user guidance.
  
• Ability to translate user requirements and analytic challenges into technical solutions.
  

Preferred Qualifications

• Experience supporting analysts or operational users in a customer-facing technical environment.
  
• Experience working with financial, transactional, investigative, or other large-scale datasets.
  
• Familiarity with entity resolution, data matching, or pattern analysis.
  
• Experience supporting federal government environments is a plus.
  

Equal Opportunity Statement

Disruptive Solutions, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law.