Engineer I

As an Engineer I, you will help turn client survey data into reliable insights and workflows that power the Diversio platform. You will work closely with Client Success and Engineering to understand client requirements, map and validate data carefully, improve internal workflows, and make sure the product accurately reflects the underlying data. This is an early-career role for fresh graduates and candidates with up to three years of experience. We care more about technical strength than tenure. You should be able to reason from first principles, write and debug code, follow data through a system, and learn unfamiliar tools quickly.

Responsibilities:

• Work with client-provided survey data and move it accurately into the Diversio platform.
• Collaborate with Client Success to understand client requirements, data structures, and edge cases.
• Map, validate, clean, and transform data using Python and Django-based workflows.
• Investigate data and product issues, identify root causes, and implement reliable fixes.
• Improve internal tools, dashboards, and reporting surfaces used by the team.
• Support client-specific implementations without creating fragile one-off solutions.
• Work across technical and non-technical teams to clarify requirements and surface issues early.
• As you gain context, take broader ownership across data flows, internal tooling, and platform work.

Requirements:

• Strong programming and problem-solving fundamentals; you can explain how your code works and debug it methodically.
• Hands-on ability to write clear, reliable Python; Django experience is helpful, but strong fundamentals and the ability to learn matter more.
• Understanding of basic web application concepts, APIs, relational databases, and Git.
• Comfort working with structured data, spreadsheets, CSV files, and data mapping problems.
• Clear written and verbal communication skills.
• Careful attention to detail and a bias toward accurate, high-quality work.
• A proactive attitude and the ability to learn quickly with real ownership.
• Good judgment when using AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor.
• A degree in engineering, computer science, or a related field, or equivalent practical experience.

Nice to have:

• Experience with Django or another backend framework through coursework, internships, projects, or paid work.
• Experience in a SaaS or client-facing technical environment.
• Experience with data processing, reporting, dashboards, or backend debugging.