Lead Software Engineer or Sr. Principal

This position is a data engineer that goes all the way to development. So someone who has worked as a developer and data analyst would be ideal data engineer.

• Must be well-versed in working with SQL
• Must have created and worked with ETL
• Must have created pipelines
• Experiencing working with Data models
• Has on and well-versed building dashboards they use Tableau but open to any front end visualization development tools
• Must have AWS experience
• Pharmacy experience companies is ideal but not required
• Must be good at testing
• Must be strong in working with Python and React
• Front and development is about 10 to 15%. The rest is back-end.
• Having experience with data bricks is good to know

This is basically data analytics platform building reports and dashboards.

The interview process will be the first round with the hiring manager. The second round will be technical and the third round will be with the hiring manager and executive director and a team member. Must be on site for the final round. If they are not local they will fly them in.

Must be willing to work 2 to 3 days on site. If they are relocating please indicate the motivator of why they would like to relocate. Relocation assistance is considered. Could be an amount or a sign on bonus.

Absolutely no candidates that will require visa sponsorship or visa citizens or green card holders only

This is a new product theyre working on SaaS application

***This position requires HEAVY backend development. They are NOT looking for a front end developer**

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