Fullstack Software Engineer (data oriented, Python & Azure) - Contract - Hybrid

RVA•Richmond, VA

16h•Hybrid

About The Position

Alphanumeric is hiring a Senior Software Engineer to join our partner's engineering team in Richmond, VA, supporting a leading organization with a long-standing footprint in the financial and insurance industries. This is an opportunity to play a key role in building scalable, high-performance web applications and data pipelines that enable critical analytics and insights. You'll design, build, and maintain modern data and application solutions using Postgres SQL, Azure Synapse, Python, and PySpark, ensuring performance, reliability, and quality across systems.

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Science, Mathematics, or related field (or equivalent experience).
Hands-on experience with Azure Synapse, Delta Lake, and Postgres database platforms.
Expertise in SQL and Python, with a strong understanding of Azure App Service and web UI integration.
Proven analytical, problem-solving, and critical thinking skills.
Strong programming experience in Python, SQL, and PySpark
Hands-on experience with cloud data lakes and CI/CD pipelines (Git)

Nice To Haves

Azure Synapse, Databricks, Azure DevOps, Azure App Service, Postgres SQL
Familiarity with web UI services and Azure-based deployment environments

Responsibilities

Build and maintain scalable web applications, data pipelines, and workflows using Postgres SQL and Azure Synapse.
Troubleshoot, enhance, and optimize existing UI and data workflows for reliability and performance.
Analyze and resolve production issues across front end, back end, and data layers with root-cause analysis and permanent fixes.
Design and maintain data control frameworks to ensure integrity, security, and compliance across Synapse and integrated applications.
Collaborate with actuarial stakeholders to gather requirements and deliver reliable, high-quality solutions.
Participate in Agile ceremonies, backlog grooming, and task estimation.
Apply CI/CD, unit testing, version control, and monitoring best practices.
Use automation and scripting to improve deployment efficiency and system scalability.
Support QA/UAT cycles, ensuring deliverables meet business and usability expectations.
Create and maintain comprehensive technical documentation for long-term knowledge sharing.