Employment Type: Full-Time

Role Overview

We are looking for a highly skilled Mid to Senior Developer 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.

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

• Based in the United States
• Experience: 2-4+ 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 (Nice to Haves)

• 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.