Senior Software Engineer: Data
@ Fiscal.ai

Hybrid
Hybrid
Full Time
Posted 18 days ago

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Job Details

Overview

Fiscal.ai (formerly FinChat) is on a journey to build the best financial data company in the era of AI. The company has grown exponentially with a talented founding engineering team and is seeking a true outlier to join as a Senior Software Engineer: Data.

Why Join Fiscal.ai?

Be part of a venture-backed growth story with over 300,000 users and notable enterprise partners. This role offers an opportunity to join the ownership team with equity options, work in a dynamic startup environment, and contribute directly to strategic decision making.

Role Description

You will work on proprietary data technology, focusing on both aggregation and distribution via API. Hands-on experience with financial data, AI technology, and building robust APIs is required.

  • Minimum 5+ years experience in Data Development.
  • Expertise in data parsing, databases, and Python.
  • Solid track record building APIs and handling structured/unstructured data.
  • Passion for investing and finance with a technical edge in AI.
  • Bachelor’s in Computer Science or equivalent (self-taught considered).

Tech Stack & Bonus Skills

The tech ecosystem includes React, Tailwind, Node, Next.js, Cloudflare, Firestore, Firebase, and SQL. Bonus points for experience with startup growth from zero to hero.

Additional Information

This is a remote-first role based in Canada with occasional in-person work in our co-working space in downtown Toronto. The salary range is $100,000-$220,000 with competitive equity options, benefits, and unlimited vacation.

Key skills/competency

  • Data Aggregation
  • API Development
  • Python
  • Database Management
  • Data Parsing
  • Financial Data
  • AI/LLMs
  • Startup Growth
  • Remote Collaboration
  • Software Engineering

How to Get Hired at Fiscal.ai

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to Fiscal.ai requirements.
  • Highlight data experience: Emphasize API and Python proficiency.
  • Showcase project success: Provide measurable impact examples.
  • Prepare for technical interviews: Practice coding and data challenges.

📝 Interview Preparation Advice

Technical Preparation

Review API design principles.
Practice Python coding challenges.
Study database management techniques.
Familiarize with data parsing methods.

Behavioral Questions

Describe past team collaborations.
Explain tension resolution in projects.
Discuss adaptability in fast-paced startups.
Share experiences with ownership mindset.

Frequently Asked Questions