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5,515

Python jobs in United States

Senior Data Engineering Specialist (Hybrid)

PowerToFly

Montreal (administrative region)
Hybrid
CAD 90,000 - 120,000
30+ days ago
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Senior Test Automation Engineer

TTC Global

Quebec
Remote
CAD 100,000 - 130,000
30+ days ago

GCP Data Architect - Remote

Software International

Toronto
Remote
CAD 80,000 - 100,000
30+ days ago

Data Scientist

Goodgame Studios

Victoria
On-site
CAD 80,000 - 100,000
30+ days ago

Principal Data Scientist

Tiger Analytics

Toronto
On-site
CAD 150,000 - 200,000
30+ days ago
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Software Engineering Manager

Deloitte Canada

Toronto
Hybrid
CAD 104,000 - 215,000
30+ days ago

Data Scientist / Machine Learning Engineer (Recommendation Systems)

Beatdapp

Vancouver
On-site
CAD 100,000 - 130,000
30+ days ago

Full Stack Developer (React.js + GCP)

Stacktics Inc.

Toronto
Hybrid
CAD 80,000 - 100,000
30+ days ago
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Senior Data Operations Engineer

Samsara

Canada
Remote
CAD 97,000 - 127,000
30+ days ago

Sr Data Engineer - Angular - Mississauga

Photon

Canada
On-site
CAD 70,000 - 90,000
30+ days ago

Intermediate Software Dev QA Developer

Fortinet, Inc.

Burnaby
On-site
CAD 79,000 - 98,000
30+ days ago

Senior Analyst, Data Analytics

Momentum Financial Services Group

Toronto
Hybrid
CAD 93,000
30+ days ago

Staff Software Applications Engineer

Qualcomm

Markham
On-site
CAD 80,000 - 110,000
30+ days ago

Staff Engineer

Qualcomm

Markham
On-site
CAD 90,000 - 120,000
30+ days ago

Analyst, Credit Strategy

Momentum Financial Services Group

Toronto
Hybrid
CAD 87,000
30+ days ago

Sr. Software Applications Engineer

Qualcomm

Markham
On-site
CAD 80,000 - 100,000
30+ days ago

Security Engineer, Corporate Security

1Password

Canada
Remote
CAD 111,000 - 150,000
30+ days ago

Senior Machine Learning Engineer

Loopio Inc.

Toronto
Remote
CAD 100,000 - 130,000
30+ days ago

Lead Software Engineer - AI (Materia AI)

Thomson Reuters

Toronto
Hybrid
CAD 140,000 - 175,000
30+ days ago

Senior Software Engineer - AI (Materia AI)

Thomson Reuters

Toronto
Hybrid
CAD 100,000 - 145,000
30+ days ago

Senior Software Engineer - AI II

Thomson Reuters

Toronto
Hybrid
CAD 100,000 - 145,000
30+ days ago

Data and Model Governance Lead

MQ Referrals Only

Vancouver
Remote
CAD 141,000 - 177,000
30+ days ago

Senior Software Engineer - C++ - Exchange

P2P

Canada
Remote
CAD 123,000 - 179,000
30+ days ago

Software Engineer - Exchange - C++

P2P

Canada
Remote
CAD 80,000 - 100,000
30+ days ago

Senior Geospatial Data Scientist

KorrAI

Canada
Remote
CAD 95,000 - 125,000
30+ days ago
Senior Data Engineering Specialist
PowerToFly
Montreal (administrative region)
Hybrid
CAD 90,000 - 120,000
Full time
30+ days ago

Job summary

A leading financial services firm in Montreal is looking for a Senior Data Engineering Specialist to join the Credit Risk - Data Infrastructure team. This role focuses on developing and optimizing data pipelines while leveraging machine learning techniques. The ideal candidate brings extensive experience in Data Warehousing, solid programming skills in Python, and an understanding of DevOps practices. This position offers a hybrid work environment and the opportunity to collaborate with a talented team dedicated to innovation and excellence.

Benefits

Comprehensive employee benefits
Supportive and inclusive environment
Opportunities for career movement

Qualifications

  • 7+ years of working experience in Data Warehousing.
  • Excellent understanding of Data Warehousing concepts.
  • Good programming skills with any programming language (Python preferred).
  • Knowledge about DevOps implementation in Data space.

Responsibilities

  • Support infrastructure related upgrades involving database and other environments.
  • Develop and support of Data Ingestion Framework.
  • Implement DevOps techniques and practices.

Skills

Data Warehousing
SQL
Python
Unix shell scripting
DevOps implementation
Spark
Snowflake
Databricks
Communication
Interpersonal skills

Education

Bachelor’s degree in computer science or related field
Job description

We're seeking someone to join our Credit Risk - Data Infrastructure team as a Senior Data Engineering Specialist in Risk Tech to plan, design and contribute towards database development (Data Warehousing, ETL etc.) and engineering activities.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Data & Analytics Engineering position at Vice President level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions and individuals around the world achieve their financial goals.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:
  • Support infrastructure related upgrades involving database and other environments.

  • Develop and support of Data Ingestion Framework (using Spark, Python Scripting, Databricks, Snowpipe etc.)

  • Implement DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Git

What you’ll bring to the role:
  • 7+ years of working experience in Data Warehousing

  • Bachelor’s degree in computer science or related field

  • Excellent understanding of Data Warehousing concepts (i.e., Data modelling, data transformations)

  • Strong Skills in Relational Databases and writing complex SQL

  • Good programming skills with any programming language (Python preferred)

  • Good understanding of Unix shell scripting

  • Knowledge about DevOps implementation in Data space

  • Hands on experience with Spark, Snowflake and/or Databricks

  • Excellent communication, interpersonal skills

At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across the businesses for those who show passion and grit in their work.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

Build a career with impact. Visit morganstanley.com for more information.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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