Sr. Fullstack Software Engineer

## About the Role We are looking for a highly skilled Senior Engineer to join our team and bridge the gap between application development and business intelligence. In this role, you will be responsible for the end-to-end lifecycle of our data—from storage and transformation to visualization. Reporting directly to the Director of Engineering/BI, you will architect robust data pipelines, manage cloud infrastructure, and build intuitive React- based front-end interfaces that empower stakeholders to make data-driven decisions. Knowledge of Azure, C#, Postgress, MongoDB and Typescript at a must. ## Key Responsibilities - Full Stack Development: Design and develop responsive user interfaces and internal dashboards using React to visualize complex datasets. - Data Transformation (ETL/ELT): Build and maintain scripts to extract, clean, and transform data from various sources into usable formats for reporting and application use. - Database Management: - Write complex SQL queries, stored procedures, and optimize database performance for relational datasets. - Manage and query MongoDB collections, utilizing the aggregation framework for unstructured data. - Infrastructure & Deployment: Deploy and manage applications and services using AWS, specifically provisioning and maintaining EC2 instances. - Architecture: Collaborate with the Director of Engineering to design scalable data architectures that support business intelligence initiatives. - Code Quality: Conduct code reviews, write unit tests, and ensure documentation is up to date for all data processes and UI components. ## Required Qualifications - Experience: 3+ years of professional software engineering experience. - Frontend Proficiency: Strong experience with React.js (Hooks, Context API, State Management) and modern CSS/UI libraries. - Database Expertise: - Advanced proficiency in SQL (PostgreSQL, MySQL, or SQL Server). - Solid experience with MongoDB (schema design, indexing, and performance tuning). - Cloud Operations: Hands-on experience with AWS, specifically managing EC2 environments (SSH, security groups, load balancing). - Data Engineering: Proven ability to perform data transformation, normalization, and aggregation across disparate data sources. - Backend/Scripting: Proficiency in server-side languages (e.g., Node.js, Python, or Go) to handle API development and data processing scripts. ## Preferred Qualifications - Experience with data visualization libraries (e.g., D3.js, Chart.js, or Recharts). - Familiarity with containerization (Docker) and CI/CD pipelines. - Knowledge of Data Warehousing concepts (Redshift, Snowflake, or BigQuery). - Experience building RESTful or GraphQL APIs.