Software Engineer: Back-End (Data)

As a Software Engineer: Back-End (Data) at FinChat, your primary responsibilities include developing and maintaining our proprietary data technology, focusing on API aggregation and distribution, ensuring data integrity, and working with both structured and unstructured financial data. You will leverage the latest AI technologies to enhance our offerings and direct collaborate with our founding engineering team to further innovate our products.

To qualify for the Software Engineer: Back-End (Data) position at FinChat, you'll need a Bachelor’s degree or equivalent in Computer Science or Software Engineering. However, candidates who are self-taught and showcase strong technical skills can also be considered. Proficiency in Python, experience in API development, and a good understanding of investment concepts will help you stand out.

At FinChat, you'll engage with a modern tech stack that includes React, Tailwind, Node, and Next.js, along with Cloudflare, Firestore, Firebase, and SQL. This diverse range of tools empowers you to create robust and scalable API solutions for our users while shaping the future of financial data.

Yes, the Software Engineer: Back-End (Data) role at FinChat is primarily remote, allowing you the flexibility to work from anywhere. While we occasionally gather at our co-working space in downtown Toronto for collaborative sessions, you can enjoy the convenience of remote-first work.

FinChat supports rapid personal and professional growth for Software Engineers: Back-End (Data). Working closely with our founding team allows you the chance to influence decision-making and develop leadership skills in a fast-paced environment. Additionally, as we expand, you’ll have ample opportunity to take on new and exciting challenges.

In answering this question, focus on specific projects where you developed or managed APIs. Discuss the technologies used, the challenges faced, and the successful outcomes. Highlight your ability to create scalable and efficient APIs that handle data effectively.

When discussing your approach to data parsing, emphasize your methodology for extracting, transforming, and loading data. Share any tools or technologies you prefer and present examples of how you ensured data integrity and accuracy in a financial context.

Focus on defining structured and unstructured data types and how this distinction impacts software design. Offer insight into your experience managing both data types, demonstrating your versatility and understanding of financial data complexities.

In your answer, highlight any projects that involved AI, especially utilizing Large Language Models for financial predictions or data insights. Discuss your understanding of AI and how it can enhance financial data applications.

Articulate your passion for financial technology and your motivation to work at FinChat. Mention how the company’s vision aligns with your interests and your desire to be part of an innovative team at the forefront of AI-driven financial data.

Discuss your process for code reviews, testing practices like unit and integration tests, and your commitment to best coding practices. Highlight any tools you've used for performance optimization and the impact of your work on project deliverables.

Choose a specific scenario that illustrates your problem-solving skills. Describe the challenge, your approach, and the outcome, emphasizing the lessons learned and how it improved your skills as a Software Engineer.

In answering this question, highlight approaches you take for database normalization, indexing, and query optimization, providing concrete examples. Describe how you manage data integrity and performance within your applications.

Share your strategies for time management, prioritization, and working under pressure. Discuss any tools or methodologies you employ to maintain productivity while ensuring the quality of your work doesn’t suffer.

Discuss the importance of communication, collaboration, and adaptability in a startup tech team. Share examples of how you contribute to team success, your understanding of startup culture, and how you align your work with the overall company goals.