Python Developer

Role: Python Developer

Design, develop, and implement Python-based automation to support the reconciliation process and build scalable ETL pipelines. You will extract, transform, and load data from multiple sources into an integrated platform, ensuring accuracy, efficiency, and reliability across the reconciliation lifecycle.

Key Responsibilities

• Design, develop, and maintain ETL pipelines for data integration across multiple sources
• Refactor existing code and automated processes into Python, validating functionality via test cases and user feedback
• Build scalable data solutions using Python and cloud platforms such as Databricks and Apache Airflow
• Collaborate with data scientists and analysts to ensure data accessibility and usability
• Optimize data architecture and workflows to improve efficiency, performance, and security
• Troubleshoot data pipeline issues and maintain data integrity across systems

Requirements

• 3+ years of experience in data/automation engineering with a strong focus on Python
• 3+ years developing, maintaining, and administering SQL databases
• 2+ years working with cloud-based data platforms such as Databricks and Apache Airflow (or AWS services like Lambda/S3)
• Experience designing, testing, and deploying ETL workflows with enterprise data systems
• Must be a U.S. citizen and able to pass a background investigation
• DHS clearance with CBP/ICE, or DoD Top-Secret preferred

Preferred Skills

• OCR and document understanding experience (e.g., AWS Textract, Tesseract, or layout-aware models)
• Familiarity with DevOps practices: version control, CI/CD, and containerized deployment

Logistics

• Job type: Full-time
• Location/Work model: Remote (Washington, DC listed)
• Benefits: 401(k) with match, health/dental/vision, life insurance, flexible schedule, tuition reimbursement, and professional development assistance