Description
Description
SAIC is seeking a talented Python Web App Developer to join our analytics team and build innovative web applications that transform complex data into actionable insights. In this role, you'll design and develop scalable, user-friendly web applications that enable our stakeholders to interact with data-driven analytics and reporting tools. Working within our Microsoft Azure and Databricks ecosystem, you'll bridge the gap between data science and end-user experience, creating solutions that empower data-informed decision-making across the organization.
Responsibilities
· Design, develop, and maintain Python-based web applications for analytics dashboards, reporting tools, and data visualization platforms
· Collaborate with data scientists, analysts, and business stakeholders to translate analytical requirements into functional web applications
· Integrate web applications with Azure services
· Connect applications to Databricks for data processing, querying, and real-time analytics
· Build responsive, intuitive user interfaces that make complex data accessible to non-technical users
· Optimize application performance and ensure scalability to handle large datasets and concurrent users
· Implement security best practices including authentication, authorization, and data protection in cloud environments
· Write clean, maintainable, and well-documented code following software development best practices
· Participate in code reviews, testing, and deployment processes using CI/CD pipelines
· Monitor application performance, troubleshoot issues, and provide ongoing maintenance and enhancements
· Make data accessible for evaluation and optimization
· Collaborate with business stakeholders, business operations, and product engineering teams
· Coordinate activities with other technical personnel as appropriate.
Qualifications
Required
· Master's degree in computer science, systems engineering, or related technical discipline
· 10 years of experience as a Data Scientist/Engineer/Administrator or similar role
· 8 years of additional relevant experience may substitute for education
· Must be a US Citizen and able to obtain a Public Trust
Preferred
· Strong proficiency in Python web frameworks
· Experience building interactive analytics applications using Shiny for Python
· Experience with Streamlit or similar tools
· Experience with Microsoft Azure
· Experience with Databricks
· Experience with front-end technologies including HTML, CSS, JavaScript, and modern frameworks like React, Vue.js, or Angular
· Hands-on experience with Microsoft Azure services (App Service, Functions, Storage, SQL Database, Key Vault)
· Familiarity with Databricks and experience working with Spark DataFrames and Delta Lake
· Knowledge of data visualization libraries such as matplotlib, seaborn, Plotly, Dash, or D3.js
· Experience with RESTful API design and development
· Proficiency with SQL and experience querying large datasets
· Understanding of version control systems, particularly Git
· Experience with containerization technologies like Docker and orchestration with Kubernetes
· Knowledge of CI/CD practices and tools such as Azure DevOps or GitHub Actions
· Familiarity with authentication protocols (OAuth, SAML, Azure AD)
· Experience with data manipulation libraries including Pandas, NumPy, and data analysis workflows
· Understanding of software testing principles and frameworks
· Strong problem-solving skills and ability to work independently and collaboratively
· Excellent communication skills with ability to explain technical concepts to non-technical audiences
· Experience with Microsoft Power BI
· Ability to work independently with minimal direction providing technical and non-technical support to multiple users
· Capable of working under pressure, while handling multiple tasks simultaneously
· Ability to work overtime and weekends required on occasion
· Experience providing services to the federal government is preferred
· Requirements gathering and project management experience
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
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