Data Developer (Python/Spark)

TL;DR

Data Developer (Python/Spark): Building and optimizing foundational datasets and scalable data pipelines for a financial platform with an accent on data lake integration, data modeling, and performance. Focus on enhancing data generation patterns, solving complex data infrastructure problems, and enabling analytics, experimentation, and machine learning use cases.

Location: Onsite in Toronto, Canada

Salary: $124,000–$145,000 CAD

Company

hirify.global is a financial technology company building products to democratize finance for all.

What you will do

• Define and build key datasets across all hirify.global product areas, leading their evolution.
• Build scalable data pipelines using Python, Spark, and Airflow to move data into the data lake.
• Partner with upstream engineering teams to enhance data generation patterns.
• Collaborate with data consumers across hirify.global to understand consumption patterns and design intuitive data models.
• Ideate and contribute to shared data engineering tooling and standards.
• Define and promote data engineering best practices across the company.

Requirements

• 3+ years of professional experience building end-to-end data pipelines.
• Hands-on software engineering experience, with the ability to write production-level Python code.
• Expertise in building and maintaining large-scale data pipelines using open-source frameworks (Spark, Flink).
• Strong SQL skills (Presto, Spark SQL).
• Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms).
• Expert collaboration skills with the ability to democratize data through actionable insights and solutions.

Nice to have

• Passion for working and learning in a fast-growing company.

Culture & Benefits

• Join a mission to democratize finance for all.
• Work in a metrics-driven company where data is foundational to key decisions.
• Be at the epicenter of a historic cultural and financial shift.
• Eligible for bonus opportunities, equity, and benefits.
• Experience an inclusive and welcoming interview process.