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 your 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 perfectly with business intent and regulatory requirements.
Integrate control outputs with enterprise monitoring tools (like 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 requirement documents into robust, reusable code templates that satisfy audit and risk standards.

Requirements

Bachelor’s Degree in Computer Science, Engineering, or a related technical field.
At least 5+ years of professional experience in Software Engineering with a heavy focus on Python.
At least 3 years of experience with SQL and working with large-scale relational or NoSQL databases.
At least 2 years of experience with a Cloud provider (preferably AWS).
At least 2 years of experience with Git and version control workflows (PR reviews, branch protection).

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLCloud computingData reconciliationAutomated testingVersion controlGherkinNoSQL databasesData LakesModular coding

Soft Skills

CollaborationCommunicationProblem-solvingAttention to detailAnalytical thinking

Certifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Engineering