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# Full Stack Engineer (Data)

- **Company:** Inforcer Inc.
- **Location:** Richmond, VA, United States
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Application Services, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Software as a Service, Databases, Continuous Integration, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Relational Databases, Internet Security, Python (Programming Language), Microsoft Software, SQL Azure, Standard Sql, Azure Data Lake, Software Deployment, Systems Integration, TypeScript, Data Processing, Azure Data Factory, ReactJS, Backend, Git, AI Platforms, Front End Software Development, Restful APIs, Azure Synapse Analytics, Data Pipelines, Serverless Computing, Databricks
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/full-stack-engineer-data-richmond-va--2f6d4287-5b01-4cc4-8868-e1eee14063f4

## About the Role

Internet Security, Microsoft Product Family, Artificial Intelligence (AI), Service Delivery, Automation, Microsoft .NET, Microsoft Windows Azure, Microsoft C# (C Sharp), React.js, Application Programming Interface (API), * Commercial experience as a Full Stack Engineer, Software Engineer or similar role

 * Strong C# and .NET development skills
 * Experience building modern frontend applications with React and TypeScript or JavaScript
 * Experience designing REST APIs, distributed services and event-driven integrations
 * Experience building and deploying applications in Microsoft Azure
 * Good SQL skills and an understanding of relational database design and data modelling
 * Experience with Azure data technologies such as Azure Data Factory, Azure Data Lake Storage, Azure SQL, Synapse Analytics or Databricks
 * Experience designing data integrations, ingestion processes or ETL/ELT pipelines
 * Experience using Git, automated testing and CI/CD pipelines
 * A product mindset and the ability to balance engineering quality with pragmatic delivery
 * Clear communication skills and a collaborative approach to working with technical and non-technical stakeholders
 * Python experience is beneficial for data processing or automation, but is not essential

## Description

We''re looking for a Full Stack Engineer (Data) to build end-to-end applications and services that power our internal automation, analytics and AI platforms.

You''ll work across the stack using C#, .NET, React and Microsoft Azure, while also designing the data integrations, pipelines and platform components behind these products. You''ll turn complex business and data requirements into secure, scalable and intuitive solutions that people can rely on.

This role is ideal for a strong software engineer who enjoys building complete products and has a genuine interest in modern data platforms. You should be comfortable owning work from backend services and APIs through to frontend experiences and Azure data technologies. If this sounds like you, we'd love to hear from you.

What you'll be doing

 * Design, build and maintain full stack applications using C#, .NET, React and Microsoft Azure
 * Build secure backend services, REST APIs and responsive frontend experiences
 * Own features end to end, from technical design and data modelling through to deployment and support
 * Integrate SaaS platforms, databases, APIs and third-party applications
 * Design and maintain data integrations, ingestion processes and ETL/ELT pipelines
 * Build solutions using Azure Data Factory, Azure Functions, Azure Data Lake Storage and related Azure services
 * Transform raw data into reliable datasets for products, reporting, automation and AI initiatives
 * Implement appropriate testing, monitoring, alerting and data quality controls
 * Improve the performance, security, reliability and scalability of applications and data pipelines
 * Contribute to architecture decisions, engineering standards and platform roadmaps
 * Work with technical and non-technical stakeholders to turn ambiguous requirements into practical solutions