Job Description
Job Description
Be Part of a Dynamic Team
This opportunity is with a leading financial services organization dedicated to innovation and digital transformation within the insurance industry. The technology group drives data and application modernization initiatives, supporting analytics and actuarial operations. The team is known for its collaborative and agile culture, encouraging technical excellence, ownership, and continuous learning.
What’s In Store for You
- Hybrid work model based in Richmond, VA (2 days onsite) — remote options available for EST / CST candidates.
- Opportunity to work with cutting-edge Azure technologies across data engineering, web applications, and automation.
- Engage directly with business stakeholders on high-impact projects influencing strategic decisions.
- Work in an agile, growth-focused environment that values collaboration and innovation.
How You Will Make an Impact
Design, build, and maintain scalable web applications and data workflows leveraging Azure Synapse, Postgres SQL, and Python.Ensure data accuracy, performance, and reliability across integrated systems.Troubleshoot production issues across the data and UI stack, implementing root cause fixes.Contribute to agile ceremonies and sprint planning to support project delivery.Enhance CI / CD pipelines, automate deployments, and improve team efficiency.Partner with actuarial teams to develop reliable, secure, and high-performing data solutions.Are You an Experienced Software Engineer Ready to Make an Impact?
5–8 years of experience in software engineering or data engineering roles.Strong proficiency in Python, SQL, and Azure Synapse.Proven experience building data pipelines and web-based applications in the cloud.Familiarity with Azure DevOps, CI / CD, Postgres SQL, and PySpark.Bachelor’s degree in Computer Science, Data Science, or a related field.Excellent problem-solving and analytical thinking skills.Ability to thrive in a fast-paced, agile environment and collaborate across technical and business teams.Preferred : Azure certification, Databricks experience, and prior exposure to actuarial or financial data environments.#Dice