Senior Back End Python Developer

Senior Back End Python Developer Job ID 2024-27354 Category Software Development Location US-OH-Cincinnati About DMI DMI is a leading global provider of digital services working at the intersection of public and private sectors. With broad capabilities across IT managed services, cybersecurity, cloud migration and application development, DMI provides on-site and remote support to clients within governments, healthcare, financial services, transportation, manufacturing, and other critical infrastructure sectors. DMI has grown to over 2,100 employees globally and has been continually recognized as a Top Workplace in both regional and national categories. About the Opportunity DMI, LLC is seeking a Senior Back-End Developer to join us. As a Senior Back-End Python Developer, you will be responsible for designing, building, and optimizing the back-end services that ingest, process, and model large datasets across telecom, expense, asset, and ITSM data in multiple formats including CSV, XLS/XLSX, PDF, EDI, JSON, XML, Fixed-width files, and Database Exports. This is a highly collaborative role that will involve working closely with product managers, data engineers, and front-end developers to create solutions that drive meaningful insights for our customers. Your expertise in data engineering and back-end development will ensure the successful handling of high-volume data, improving data quality, and enabling advanced analytics. Duties and Responsibilities: Data Ingestion: Design and implement robust data pipelines to ingest telecom, expense, asset, and ITSM data from various sources, ensuring the systems can handle large data volumes and multiple formats. Data Parsing: Build efficient, scalable parsers for raw data that can handle complex data structures, including unstructured and semi-structured data (e.g., invoices, CDR records, and ITSM logs). Data Modeling: Create and maintain data models to support telecom expense management, IT asset management, and IT service management (ITSM) workflows. Ensure the data models are optimized for querying and reporting by internal teams and external customers. Performance Optimization: Write clean, scalable, and maintainable code that ensures optimal performance and responsiveness under increasing loads. Data Validation and Quality Control: Implement strong data validation techniques to ensure the accuracy and integrity of ingested and processed data. Develop monitoring systems to track the health of data pipelines and processes. Collaboration: Work closely with the front-end development team, product managers, and DevOps to ensure seamless integration and delivery of features. Testing & Debugging: Write unit and integration tests to ensure high code quality and troubleshoot and debug production issues as they arise. Cloud Deployment: Deploy and manage backend services in AWS or other cloud environments, leveraging cloud-native tools for scalability and reliability. Documentation: Maintain clear and concise documentation for all backend processes, APIs, and database interactions. Qualifications Education and Years of Experience: Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Experience: 5 years of experience as a Back-End Developer working on SaaS applications. Required and Desired Skills/Certifications: Proficiency in Python: Strong experience with Python development, especially for back-end services and data manipulation. API Development: Proven experience building and managing RESTful APIs and integrating with third-party services. Data Pipeline Expertise: Experience building data pipelines and ETL workflows for ingesting, cleaning, and processing large volumes of structured and unstru