REQ Lead Software Engineer or Sr. Principal (Full Stack Data Analytics)

New Providence, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Role Overview

This role sits within a centralized enterprise data and analytics organization focused on building scalable cloud-based platforms that enable data-driven decision-making across a global business. The team is responsible for delivering modern data analytics and AI-enabled solutions that support complex business needs at scale.

We are seeking a highly experienced Full Stack Software Engineer with a strong background in data analytics platforms and cloud-native development. This individual will design build and maintain end-to-end applications spanning both front-end and back-end systems while collaborating closely with product data and engineering partners. The work spans ideation architecture development deployment and optimization with opportunities to integrate analytics and machine learning capabilities.

This is a hands-on engineering role with opportunities for technical leadership mentorship and influence over architectural decisions.

Key Responsibilities

Application Development

Design develop and maintain full-stack cloud-based applications supporting data analytics and reporting use cases
Build secure scalable and high-performance solutions aligned with business and regulatory requirements
Participate across the full software development lifecycle from architecture and design through deployment and optimization

Platform Operations & Support

Support and optimize development and production environments including CI/CD pipelines
Implement automation to improve reliability scalability and operational efficiency
Ensure smooth provisioning and ongoing support of applications for end users

Architecture & Integration

Design and integrate API-driven backend services using cloud-native and serverless technologies
Align solutions with established architectural standards and best practices

Agile Delivery & Collaboration

Work within agile delivery teams in close partnership with product owners and cross-functional stakeholders
Contribute to iterative development cycles with a focus on quality security and scalability

Quality & Testing

Develop and implement testing strategies and frameworks to ensure reliable high-quality software delivery

Qualifications & Experience if applying for either:

Senior Principal Software Engineer

Associate degree with 11 years of relevant experience or
Bachelors degree with 9 years of experience or
Masters degree with 7 years of experience
Minimum 6 years of hands-on programming experience preferred
Minimum 7 years of experience in full stack and data analytics engineering

Lead Software Engineer Experience

5 10 years of progressive experience in software engineering and application development

Additional Details

Minimum 7 years of experience in full stack and data analytics engineering
Full stack software development experience within data analytics platforms
Hands-on experience with data pipelines and ETL/ELT tools (e.g. AWS Glue Databricks DBT)
Backend development using cloud-native and serverless technologies (AWS Lambda API Gateway)
AWS cloud experience required
Experience with front-end data visualization tools (Tableau Power BI)
Proficiency with modern development practices and tooling:
- Agile methodologies
- CI/CD pipelines
- Test automation
- Version control (Git)
- Containerization and orchestration (Docker Kubernetes)
Familiarity with secure software development practices and multi-environment deployments (DEV QA STAGING PROD)
Bachelors or Masters degree (or equivalent experience)

Leadership & Collaboration

Demonstrated ability to lead by influence and mentor junior engineers
Strong communication skills and ability to collaborate across technical and non-technical teams
Proven thought leadership in driving best practices and innovation across the full stack

Desired Attributes

Adaptable collaborative and eager to learn
Comfortable working in fast-paced evolving environments
Interest in expanding skills beyond pure engineering (e.g. UX agile practices innovation)
Experience in regulated or highly governed environments is a plus but not required

Role Overview This role sits within a centralized enterprise data and analytics organization focused on building scalable cloud-based platforms that enable data-driven decision-making across a global business. The team is responsible for delivering modern data analytics and AI-enabled solutions t...