Backend Software Engineer

📋 Description

• Develop and scale standardized Python scripts to identify data mismatches and logic gaps across the application intake and decisioning pipeline.
• Leverage Cloud-based Data Lakes (S3, Snowflake) as primary data source, performing complex data reconciliations to ensure accurate financial and regulatory reporting.
• Drive best practices in version control using GitHub, ensuring all control scripts are peer-reviewed, modular, and production-ready.
• Build Gherkin-based automated tests to ensure that technical implementations align with business intent and regulatory requirements.
• Integrate control outputs with enterprise monitoring tools (New Relic or Splunk) for real-time visibility and automate incident triggers via standard alerting platforms.
• Work closely with Data Analysts and Product Managers to translate complex business requirements into robust, reusable code templates that satisfy audit and risk standards.

🎯 Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related technical field.
• 5+ years of Software Engineering with strong Python experience.
• 3+ years SQL with relational or NoSQL databases; 2+ years with AWS.
• 2+ years of Git and version control workflows (PR reviews, branch protection).
• Knowledge of Gherkin-based automated testing and CI/CD (Jenkins, GitHub Actions).
• Experience with Apache Kafka for real-time data pipelines (preferred).

🎁 Benefits

• Competitive compensation package
• Professional development opportunities
• Flexible work arrangements