Software developer (Full-stack and ETL)

About the role

Grade Level (for internal use): 10 The Role: Software Developer (Automation/Full Stack) The Team: Join a dynamic, cross-functional team building a modern data-driven web application deployed on AWS. The team delivers business-critical solutions for data management, reporting, and analytics using Django, React, Databricks, and cloud-native AWS services. It values ownership, collaboration, continuous improvement, and a strong focus on automation, security, and user experience. The Impact: As a Full-stack & ETL Developer, you will design, develop, deploy, and maintain end-to-end features across the platform. You will work closely with product owners, data engineers, and DevOps teams to deliver scalable, secure, and high-performing solutions, directly enabling efficient data workflows, secure access, and insightful reporting for internal stakeholders.

Responsibilities

• Develop backend systems using Django and Python, including REST API design, authentication (SAML/Okta), Databricks integration, data models, migrations, and ensuring code quality through CI/CD and standards.
• Build and maintain frontend applications using React, integrating with backend APIs, handling authentication and error states, and implementing user-friendly workflows for data exploration, approvals, and reporting.
• Design, deploy, and operate cloud infrastructure on AWS (EC2, VPC, ALB, Route 53, ACM, IAM), manage Docker environments, automate deployments using GitHub Actions, and monitor system performance and reliability.
• Design, develop, and maintain Python-based ETL frameworks for ingesting, transforming, and loading data from APIs, S3, databases, and external systems, ensuring scalable and reusable data pipelines.
• Support and troubleshoot production ETL jobs across Linux, AWS Lambda, EC2, and Windows environments, monitor scheduled jobs, resolve failures with minimal downtime, and perform root-cause analysis with long-term fixes.
• Collaborate with stakeholders, document APIs and processes, ensure secure handling of authentication, secrets, and infrastructure, and provide BAU support including bug fixes, enhancements, and operational stability.

Requirements

• Technical Skills / Qualifications:
• Bachelor's degree in Computer Science, Engineering, or related field.
• Strong proficiency in Python for backend development and ETL/data engineering, including building and troubleshooting ETL pipelines and Linux-based automation.
• Experience with REST APIs, Databricks (or similar platforms), SQL/data modeling, and fullstack development (Django + React).
• Hands-on experience with AWS services, Docker, CI/CD pipelines, Git, and SAML-based authentication (Okta or similar).
• Soft Skills:
• Strong problem-solving and troubleshooting skills, especially in production environments.
• Ability to work independently and handle end-to-end ownership across multiple domains.
• Effective collaboration with cross-functional teams (product, data, DevOps).
• Strong communication and documentation skills.
• What's In It For You?
• Our Mission:
• Advancing Essential Intelligence.
• Our People:
• Our Values:
• Integrity, Discovery, Partnership

Benefits

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