hamilton, ontario python developer Jobs – 128 Openings This Week

Fixed Income Data - Senior Python Dev
Citi —Mississauga, ON
- $94,300–$141,500 a year
- Weekends as needed
- Hybrid work
- DevOps
- Master's degree
- Bachelor's
7h
Senior Analyst - Artificial Intelligence
University of Guelph —Guelph, ON
- Temporary
- Azure
- Computer Science
- Engineering
13h
Senior Data Engineer
LTM —Mississauga, ON
- $75,163–$79,609 a year
- Python
- Disability insurance
- Dental care
Quick apply
Pre-Silicon Signoff Lead - 16513
Synopsys —Mississauga, ON
- $146,000–$219,000 a year
- Doctoral degree
- Engineering
- Master's degree
IT Business Systems Engineer - Web API/ IT Spécialiste en systèmes d’affaires - API Web
TD Synnex —Mississauga, ON
- $70,000–$90,000 a year
- Overtime
- Computer Science
- DevOps
- Data analysis skills
Senior AI Engineer, Banking Technology – Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- Master's degree
Lead Agentic AI Engineer – VP (Mississauga)
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- Java
9d
Technical Lead & Manager, Fixed Income Data Engineering - Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Software development
Apps Development Sr Manager - Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Azure
- DevOps
- System design
7d
Senior Developer (Lending Data Engineering)
Farm Credit Canada —Canada
- $107,780–$145,820 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- English
5d

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Fixed Income Data - Senior Python Dev

Citi
Mississauga, ON

Apply Now

Job details

Full-time
7 hours ago

Skills

CI/CD
Law
Waterfall
Kubernetes
Ansible
DevOps
Master's degree
Pandas
Docker
Bachelor's
Django
Agile
Unit testing
Flask
Chef
Jenkins
Communication skills
Python
SDLC

Full job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Fixed Income (FI) is the primary source of capital for corporations, governments, and nonprofits, providing liquidity and innovative solutions globally across the credit, municipal, and securitized markets.

FI’s activities include origination, structuring, investing, lending, and market making and it offers a variety of products including, but not limited to, corporate bonds, emerging markets bonds, asset backed securities, mortgage backed securities, collateralized loan obligations (CLOs), municipal securities, agency securities, short term interest rate products, loans, letters of credit, and derivative instruments, such as interest rate swaps, total return swaps, rate locks, and credit default swaps.

The Fixed Income Data Platform Team is the backbone of Fixed Income mission, providing the low latency, high concurrency, scalability, and availability needed to power our groundbreaking solutions.

Our Data Platform Engineering team is on the cutting edge. We research, adapt, and deploy the latest open-source data platforms to meet Citi's unique needs. We're a collaborative group that thrives on technical challenges and the satisfaction of building highly performant systems.

We're seeking a passionate and highly skilled senior Python developer to join our talented team of engineers in building and maintaining Citi's next-generation data platform targeted for quantitative scientists and traders to quickly iterate on and put into production analytical and trading tools.

Key Responsibilities:

Analyzes system requirements, including identifying program interactions and appropriate interfaces between impacted components and sub systems
Participate in Sprint Planning, Tasking and Estimation of the assigned work for Python platform
Participate in component and service design for Python analytical services
Work on bug resolution and application improvements, such as performance and maintainability
May occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities
Stay abreast with new trends in open source tooling and champion tools that could help improve efficiency of the Fixed Income quant and data science community
Work closely with quants and data scientists to help them use platform capabilities and develop efficient analytical tools
Continuously look to automate manual touchpoints in the technology delivery pipeline

Required Skills / Experience:

5 years+ of hands-on experience in building an enterprise scale highly componentized application using Python incl. web frameworks like Django or Flask and data science tools - Pandas, Polars, Streamlit, Airflow
Experience with Docker and Kubernetes/Openshift
Experience with Python LLM tools (OpenAI, Vertex, Langchain) is a plus
Experience with DevOps technologies - Ansible, Chef is a plus
Experience working in a Continuous Integration and Continuous Delivery environment and familiar with Jenkins, TeamCity, Code Quality Tools - SonarQube, etc.
Proficient in industry standard best practices such as Design Patters, Coding Standards, Coding modularity, Prototypes etc.
Unit testing frameworks - PyTest
Understanding of the SDLC lifecycle for Agile & Waterfall methodologies
Excellent written and oral communication skills

Education:

Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location Full Time Salary Range:

$94,300.00 - $141,500.00

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

This job opening is for an existing job vacancy.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

Apply Now

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Job Overview

Fixed Income (FI) is the primary source of capital for corporations, governments, and nonprofits, providing liquidity and innovative solutions globally across the credit, municipal, and securitized markets.

The Fixed Income Data Platform Team is the backbone of Fixed Income mission, providing the low latency, high concurrency, scalability, and availability needed to power our groundbreaking solutions.

Our Data Platform Engineering team is on the cutting edge. We research, adapt, and deploy the latest open-source data platforms to meet Citi's unique needs. We're a collaborative group that thrives on technical challenges and the satisfaction of building highly performant systems.

We're seeking a passionate and highly skilled senior Python developer to join our talented team of engineers in building and maintaining Citi's next-generation data platform targeted for quantitative scientists and traders to quickly iterate on and put into production analytical and trading tools.

Key Responsibilities:

Analyzes system requirements, including identifying program interactions and appropriate interfaces between impacted components and sub systems

Participate in Sprint Planning, Tasking and Estimation of the assigned work for Python platform

Participate in component and service design for Python analytical services

Work on bug resolution and application improvements, such as performance and maintainability

May occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities

Stay abreast with new trends in open source tooling and champion tools that could help improve efficiency of the Fixed Income quant and data science community

Work closely with quants and data scientists to help them use platform capabilities and develop efficient analytical tools

Continuously look to automate manual touchpoints in the technology delivery pipeline

Required Skills / Experience:

5 years+ of hands-on experience in building an enterprise scale highly componentized application using Python incl. web frameworks like Django or Flask and data science tools - Pandas, Polars, Streamlit, Airflow

Experience with Docker and Kubernetes/Openshift

Experience with Python LLM tools (OpenAI, Vertex, Langchain) is a plus

Experience with DevOps technologies - Ansible, Chef is a plus

Experience working in a Continuous Integration and Continuous Delivery environment and familiar with Jenkins, TeamCity, Code Quality Tools - SonarQube, etc.

Proficient in industry standard best practices such as Design Patters, Coding Standards, Coding modularity, Prototypes etc.

Unit testing frameworks - PyTest

Understanding of the SDLC lifecycle for Agile & Waterfall methodologies

Excellent written and oral communication skills