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Collabera

Python/Spark Developer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Pay: $70 to $75 CAD / hour
Job type: Contract
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 24, 2026

Apply About employer

Applications open in a new tab.

Original job description

The expected base salary range for this position is $70/Hr - $75/Hr, depending on experience, skills, and internal equity.
The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location.
For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.
We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications.
These tools are used to enhance consistency and efficiency.
All hiring decisions involve human review and are not based solely on automated processing.

Position Overview:

We are seeking an experienced Python/Spark Developer with strong expertise in building enterprise-grade backend applications and large-scale data processing solutions within the financial services industry.
The ideal candidate will have extensive experience developing scalable data pipelines, optimizing distributed computing environments, and supporting credit risk analytics and regulatory reporting initiatives.
This role requires a strong software engineering mindset with deep knowledge of Python development, Apache Spark, distributed computing frameworks, and financial risk management systems.

Key Responsibilities:

Design, develop, optimize, and maintain scalable data pipelines for processing and analyzing large volumes of financial data.
Build and enhance batch processing frameworks supporting credit risk analytics, stress testing, and regulatory reporting initiatives.
Develop backend applications and services using Python following software engineering best practices.
Lead the design and implementation of solutions supporting:
Stress Loss Analytics (GSST, CCAR)
Expected Credit Loss (CECL)
IFRS9
ICAAP
Ensure efficient storage, retrieval, and processing of risk data across big data platforms including Hadoop, Hive, Impala, and Spark.
Implement Spark performance optimization techniques including partitioning, caching, memory management, and query tuning.
Collaborate with cross-functional teams to define technical requirements and deliver scalable enterprise solutions.
Maintain high code quality through automated testing, code reviews, CI/CD pipelines, and version control best practices.
Lead software development projects and mentor team members throughout the development lifecycle.
Utilize AI-assisted development tools such as GitHub Copilot, Claude, Devin, or similar technologies to improve engineering productivity and software quality.

Required Qualifications:

7+ years of software development experience.
5+ years of hands-on experience developing enterprise applications using Python and Apache Spark.
Strong backend application and service development experience using Python.

Expertise in:

Object-Oriented Programming (OOP)
Object-Oriented Design (OOD)
Exception Handling
Concurrency & Multithreading
Functional Programming Concepts

Strong experience working with distributed computing and big data technologies including:

Apache Spark
Hadoop
Hive
Impala

Strong SQL development experience with enterprise databases such as:

Oracle
PostgreSQL
SQL Server
MySQL
Experience with NoSQL databases is a plus.
3+ years of experience leading and owning software development projects from inception through deployment.
Experience working within financial markets, credit risk, regulatory reporting, scenario analysis, or stress testing environments.

Hands-on experience with:

GitHub
Tekton
Harness
CI/CD Pipelines
Strong analytical, problem-solving, and communication skills.
Ability to thrive in a fast-paced TechFin environment.

Preferred Qualifications:

Experience supporting enterprise credit risk platforms and regulatory reporting systems.
Knowledge of financial risk frameworks including CCAR, CECL, IFRS9, GSST, and ICAAP.
Exposure to cloud-native architectures and modern software engineering practices.
Experience leveraging AI-powered developer productivity tools in day-to-day software development activities.

Apply About employer

More about this job

Responsibilities

Design, develop, and optimize scalable Python backend applications and Spark data pipelines for financial data, credit risk analytics, stress testing, and regulatory reporting. Lead delivery of risk analytics solutions, improve distributed data processing performance, maintain engineering quality through testing and CI/CD, and mentor team members.

Requirements

Requires 7+ years of software development experience, including 5+ years building enterprise applications with Python and Apache Spark, plus strong backend, distributed computing, big data, and SQL expertise. Candidates should also have 3+ years leading software projects and experience in financial markets, credit risk, regulatory reporting, scenario analysis, or stress testing.

Skills

Python
Apache Spark
Backend Development
Data Pipelines
Distributed Computing
Hadoop
Hive
Impala
SQL
Credit Risk Analytics
Regulatory Reporting
Spark Performance Optimization
CI/CD
GitHub
Tekton
Harness

Visa sponsorship

Not detected in the job text

Keywords

Python
Apache Spark
Hadoop
Hive
Impala
Oracle
PostgreSQL
SQL Server
MySQL
NoSQL
GitHub
Tekton
Harness
CI/CD
Object-Oriented Programming
Object-Oriented Design
Concurrency
Multithreading
Functional Programming
Distributed Computing
Data Pipelines
Credit Risk Analytics
Stress Testing
Regulatory Reporting
GSST
CCAR
CECL
IFRS9
ICAAP
GitHub Copilot

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