Python Developer at Capgemini Invent

, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jul, 26

Salary

110000.0

Posted On

14 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, ETL, SQL, Databricks, Apache Airflow, AWS, Data pipelines, Automation, Data integration, Cloud platforms, Data architecture, DevOps, CI/CD, Version control, OCR

Industry

Description

Capgemini Government Solutions (CGS) LLC is seeking a highly skilled and experienced Python Developer. The Python Developer is responsible for designing, developing, and implementing Python based automation to execute the reconciliation process. They are responsible for building robust, scalable ETL data pipelines that extract, transform, and load data from multiple sources into an integrated platform. This role develops, tests, and deploys Python automation scripts and workflows, ensuring accuracy, efficiency, and reliability throughout the reconciliation lifecycle. Working within cloud and enterprise data environments, they collaborate closely with technical leads and stakeholders to translate requirements into well-architected, maintainable solutions and continuously enhance automation performance. At CGS, we are committed to our staff’s professional development and offer a wide range of training and educational resources. In addition to our internal learning sites, we partnered with Coursera and Degreed to offer our staff the latest courses from academic institutions around the world. We provide education expense reimbursements as well as sponsor seminars, conferences, and certifications. Our practice leaders work with every team member to chart appropriate career paths and goals to ensure that we all stay innovative and transformative, which maximizes our ability to scale up our solutions, keep up with the cutting edge, and bring the art of what’s possible to the Federal Government. Key Responsibilities: * Design, develop, and maintain robust ETL pipelines for data integration across multiple sources. * Refactor existing code and automated processes into Python, validating functionality through detailed test cases and user feedback. * Implement scalable data solutions using Python and cloud-based platforms such as Databricks and Apache Airflow. * Collaborate with data scientists and analysts to ensure seamless data accessibility and usability. * Optimize data architecture and workflows to enhance efficiency, performance, and security. * Troubleshoot data pipeline issues and ensure data integrity across systems. Required qualifications: * U.S. Citizenship is required * Eligible to obtain and maintain a Government Security Clearance * 3+ years of experience in data and automation engineering with a strong focus on Python * 3+ years of experience developing, maintaining, and administrating SQL databases * 2+ years of experience 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 integrate with enterprise data systems. Preferred Skills: * Experience with Optical Character Recognition (OCR) and Document Understanding frameworks (e.g., AWS Textract, Tesseract, or layout-aware models) * Familiarity with DevOps practices such as version control, CI/CD, and containerized deployment About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get The Future You Want | www.capgemini.com Disclaimer All qualified applicants will be considered for employment based on their skills, and merit. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $90k-$110k. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Responsibilities

The Python Developer will design, develop, and maintain robust ETL pipelines and automation scripts to execute reconciliation processes. They will collaborate with stakeholders to implement scalable data solutions within cloud and enterprise environments.