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Job Overview
Location
Washington, DC
Job Type
Full-time
Category
Software Engineering
Date Posted
February 16, 2026
Full Job Description
đź“‹ Description
- • We are seeking a highly skilled and experienced Senior Python Developer to join our dynamic team in Washington, DC. This pivotal role is centered around the design, development, and implementation of sophisticated Python-based automation solutions, with a primary focus on streamlining and enhancing the reconciliation process. You will be instrumental in building robust, scalable, and efficient ETL (Extract, Transform, Load) data pipelines that are capable of ingesting, processing, and integrating data from a diverse array of sources into a unified, high-performance platform.
- • As a Senior Python Developer, your responsibilities will extend to the hands-on development, rigorous testing, and seamless deployment of Python automation scripts and complex workflows. A critical aspect of this role is ensuring the utmost accuracy, efficiency, and reliability of these processes throughout the entire reconciliation lifecycle. You will operate within both cloud and established enterprise data environments, requiring a deep understanding of how to leverage these platforms effectively.
- • Collaboration is key in this position. You will work closely with technical leads, data scientists, analysts, and other key stakeholders to translate intricate business and technical requirements into well-architected, maintainable, and future-proof solutions. A significant part of your contribution will involve continuously monitoring and enhancing the performance of our automation frameworks, identifying bottlenecks, and implementing optimizations to ensure peak operational efficiency.
- • Key responsibilities include the end-to-end design, development, and ongoing maintenance of robust ETL pipelines. This involves orchestrating data integration efforts across multiple disparate sources, ensuring data consistency and quality. You will be tasked with refactoring existing codebases and automated processes, migrating them to modern Python standards, and meticulously validating their functionality through comprehensive test cases and iterative feedback loops with users and stakeholders.
- • A core function of this role is the implementation of scalable data solutions. This will leverage your expertise in Python, coupled with your experience in cloud-based data platforms such as Databricks and Apache Airflow. Familiarity with other relevant AWS services, like Lambda and S3, will be highly advantageous in building and managing these sophisticated data infrastructures.
- • You will play a crucial role in fostering seamless data accessibility and usability for our data science and analytics teams. This involves understanding their needs and ensuring that the data pipelines you build provide clean, well-structured, and readily available data for their analytical endeavors. Furthermore, you will be responsible for proactively optimizing our data architecture and workflows. This optimization effort will focus on enhancing overall efficiency, boosting performance metrics, and strengthening the security posture of our data systems.
- • Troubleshooting data pipeline issues will be a regular part of your duties. You will need to possess strong analytical and problem-solving skills to quickly identify root causes, implement effective solutions, and ensure the integrity and consistency of data across all integrated systems. This proactive approach to issue resolution is vital for maintaining operational continuity and trust in our data.
- • This role offers a unique opportunity to work on challenging projects that have a direct impact on the accuracy and efficiency of critical business processes. You will be at the forefront of leveraging cutting-edge technologies to solve complex data challenges and drive significant improvements in automation and data management. Your contributions will be essential in maintaining the integrity and reliability of our data operations, supporting informed decision-making across the organization.
- • We encourage innovation and expect our Senior Python Developers to stay abreast of the latest trends and best practices in data engineering, Python development, and cloud technologies. You will have the opportunity to mentor junior team members and contribute to the overall technical growth of the team. This is a role for someone who is passionate about data, automation, and building high-quality software solutions in a collaborative and fast-paced environment.
🎯 Requirements
- • Minimum of 5 years of professional experience in data and automation engineering, with a strong emphasis on Python 3 development.
- • At least 3 years of hands-on experience in developing, maintaining, and administering SQL databases.
- • A minimum of 2 years of experience working with cloud-based data platforms such as Databricks, Apache Airflow, or other relevant AWS services (e.g., Lambda, S3).
- • Proven experience in designing, testing, and deploying robust ETL workflows and integrating them with enterprise data systems.
- • Must be a U.S. citizen eligible for a background investigation by the client agency.
🏖️ Benefits
- • Competitive salary and comprehensive health benefits package.
- • Opportunities for professional development and continuous learning.
- • Exposure to cutting-edge cloud and data technologies.
- • Collaborative and innovative work environment.
- • Potential for DHS clearance with CBP ICE, or DoD Top-Secret (preferred, not required for application).
Skills & Technologies
About Constellation Software Inc.
Volaris Group, a subsidiary of Constellation Software Inc., acquires and manages vertical market software companies serving niche industries worldwide. It provides long-term capital, operational support, and autonomy to portfolio firms in sectors like healthcare, education, logistics, and financial services, focusing on sustainable growth without exit pressures. Established in 1995, the group operates decentralized businesses across over 40 countries, emphasizing tailored solutions and customer retention over rapid scaling.
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