Description

Required Qualifications

• Practical coding proficiency (e.g., Python, JavaScript/TypeScript) and comfort building end-to-end, not just writing snippets.
• SQL. Strong SQL abilities — querying, joining, and transforming data across relational databases.
• APIs. Demonstrated experience integrating third-party and platform APIs to move and transform real business data.
• Automation. Hands-on experience building automations and workflow tooling that replace manual processes.
• AI/LLM. Direct, hands-on experience with AI and large-language-model tools and APIs, and sound judgment about where AI genuinely helps versus where it does not.
• Cloud infrastructure. Experience managing infrastructure on AWS, Azure, or an equivalent cloud platform.
• CI/CD. Experience setting up CI/CD pipelines and developer automations.
• Version control. Experience with version control systems such as Git.
• The ability to translate a vague business need into a concrete, shippable tool — and to communicate clearly with non-technical stakeholders.
• Sound judgment around data handling, security, and confidentiality.

Nice to Have

• Experience in a regulated industry (financial services, ARM/collections, healthcare, insurance).
• Data-pipeline, ETL, or reporting-automation experience.
• Awareness of data-privacy and information-security frameworks (e.g., SOC 2)

Key Skills

Education

Bachelor's degree