About the role

Role Overview

Capgemini Government Solutions (CGS) LLC is seeking a Python Developer to design, develop, and implement Python-based automation for a reconciliation process. The role focuses on building robust, scalable ETL pipelines that extract, transform, and load data from multiple sources into an integrated platform.

Responsibilities

Design, develop, and maintain ETL pipelines for data integration across multiple sources.
Refactor existing automation/code into Python and validate functionality with detailed test cases and user feedback.
Build scalable data solutions using Python and cloud/enterprise 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 ensure data integrity across systems.

Required Qualifications

U.S. citizenship required.
Eligible to obtain and maintain a Government Security Clearance.
3+ years of experience in data and automation engineering, with strong Python focus.
3+ years of experience developing, maintaining, and administering SQL databases.
2+ years working with cloud-based data platforms such as Databricks, Apache Airflow, or other AWS services (e.g., Lambda, S3).
Experience designing, testing, and deploying robust ETL workflows and integrating with enterprise data systems.

Preferred Skills

Experience with OCR / Document Understanding frameworks (e.g., AWS Textract, Tesseract, or layout-aware models).
Familiarity with DevOps practices, including version control, CI/CD, and containerized deployment.

About Capgemini

Capgemini Government Solutions (CGS) LLC, part of Capgemini, is a global business and technology transformation partner. It provides end-to-end services and solutions across strategy, design, and engineering, with strong capabilities in AI, cloud, and data for enterprise and government clients.