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Hadoop Python Jobs in Ontario (NOW HIRING)

Senior Data Engineer

Toronto, ON · On-site

CA$80K - CA$130K/yr

Programming experience in Python for scripting and data processing * Experience with REST API ... Experience using AWS Sagemaker, S3, Snowflake, Airflow, Hadoop * Familiar with JIRA, Confluence ...

Experience with programming and/or scripting languages (Python, Ruby, Bash, Go, Java, PowerShell) * Experience with container technologies Docker, Kubernetes required * Experience with Hadoop ...

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

Strong programming skills in SQL, Python, or related languages. * Experience with big data technologies and concepts (Spark, Hadoop, Kafka). * Excellent analytical, troubleshooting, and problem ...

Strong experience with Python, SQL, and Scala for data processing. Hands-on experience with ETL ... Expertise in Big Data Technologies (e.g., Spark, Hadoop). Knowledge of Cloud Platforms (AWS, GCP ...

Proficiency in SQL and a computing language such as Python or R * Experience in working with cross ... Experience with distributed tools such as Spark, Hadoop, etc. * A PhD or MS in a quantitative field ...

Strong experience with Python, SQL, and Scala for data processing. Hands-on experience with ETL ... Expertise in Big Data Technologies (e.g., Spark, Hadoop). Knowledge of Cloud Platforms (AWS, GCP ...

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

Strong programming skills in SQL, Python, or related languages. * Experience with big data technologies and concepts (Spark, Hadoop, Kafka). * Excellent analytical, troubleshooting, and problem ...

... Python, R, or Java • Experience with data manipulation and analysis libraries (e.g., Pandas ... Hadoop, Spark, or Kafka • Experience with cloud services such as AWS, Google Cloud, or Azure • ...

Director of Engineering

Toronto, ON · On-site

$180 - $260/hr

Strong C++, Python and ROS skills. * Strong experience with Ubuntu. * Knowledge of git is required ... Hadoop or similar technology. * Providing direction and guidance in assessing and evaluating ...

Data Scientist

Markham, ON

CA$80K - CA$120K/yr

... Python, with a solid understanding of software engineering best practices (modularity, code ... Teradata, Hadoop, and AWS. * Experience with CI/CD pipelines and modern deployment practices.

Data Scientist

Toronto, ON

CA$80K - CA$120K/yr

... Python, with a solid understanding of software engineering best practices (modularity, code ... Teradata, Hadoop, and AWS. * Experience with CI/CD pipelines and modern deployment practices.

Showing results 41-60

Hadoop Python information

What are the key skills and qualifications needed to thrive as a Hadoop Python developer?

To thrive as a Hadoop Python Developer, you need a strong understanding of distributed computing, Hadoop ecosystem components (like HDFS, MapReduce, Hive, or Pig), and advanced Python programming skills, often supported by a degree in computer science or related field. Familiarity with tools such as Apache Spark, Sqoop, and workflow schedulers (like Oozie or Airflow), along with experience in handling big data platforms, is typically required. Problem-solving abilities, attention to detail, and effective communication help developers collaborate with teams and translate business requirements into scalable data solutions. These skills and qualifications are essential for efficiently processing and analyzing large datasets, ensuring data reliability, and driving business insights.

What is the difference between Hadoop Python vs Hadoop Java Developer?

AspectHadoop PythonHadoop Java Developer
Required CredentialsPython programming skills, Hadoop certificationsJava programming skills, Hadoop certifications
Work EnvironmentData analysis, scripting, data pipeline developmentCore development, system integration, big data application coding
Industry UsageData science, analytics, machine learning projectsData infrastructure, platform development, system optimization

Hadoop Python and Hadoop Java Developer roles both involve working with Hadoop ecosystems, but Python focuses more on data analysis and scripting, while Java is geared towards core development and system integration. The choice depends on your programming expertise and career goals within big data environments.

What is a Hadoop Python developer?

A Hadoop Python developer is a software professional who specializes in using Python programming language to develop, implement, and maintain applications that process and analyze large datasets within the Hadoop ecosystem. They leverage Python libraries like PySpark to write scalable data processing scripts, interact with Hadoop components such as HDFS, and optimize big data workflows. These developers play a critical role in building data pipelines, performing data transformation, and supporting analytics projects in organizations that handle vast amounts of data.

How do Hadoop Python developers typically collaborate with data engineers and analysts on large-scale data projects?

Hadoop Python developers frequently work alongside data engineers and analysts to design, implement, and optimize data pipelines for handling vast datasets. They are responsible for writing Python scripts that interface with Hadoop components, ensuring data is processed efficiently and meets project requirements. Regular communication with data engineers helps align on infrastructure and architectural decisions, while close collaboration with analysts ensures data outputs are accurate and actionable. Agile methodologies and daily stand-ups are common, fostering teamwork and quick problem-solving.
What are popular job titles related to Hadoop Python jobs in Ontario? For Hadoop Python jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Ontario look for? The top searched job categories for Hadoop Python jobs in Ontario are:
Infographic showing various Hadoop Python job openings in Ontario as of August 2026, with employment types broken down into 2% Internship, 89% Full Time, 3% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Staff Data/AI Engineer

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Re-posted 5 days ago


Job description

Job Description

What's the opportunity?

We're looking for a Staff Data/AI Engineer to join RBC Borealis to design and implement AI solutions across Personal Banking & Commercial Banking. In this role, you will build and scale advanced data and ML engineering pipelines, agentic AI systems, and Large Language Model (LLM) applications. You will ensure solutions are secure and grounded in high-quality, trusted data. Working closely with business and platform teams, you will translate complex banking problems into deployable AI systems that are reliable, explainable, and compliant. This is a unique opportunity to work with a team of passionate builders committed to bringing advanced AI into the enterprise at scale.

Your responsibilities include:

  • Build and maintain scalable batch and streaming data pipelines to ingest, transform, and curate high-quality datasets for AI and agentic workflows

  • Implement DataOps and MLOps automation, including CI/CD pipelines, data validation checks, ML model deployment, monitoring, and drift detection

  • Develop and integrate AI services such as LLM-powered APIs, retrieval-augmented generation (RAG) pipelines, and agent orchestration logic into secure, production-grade environments

  • Design and optimize data models, feature stores, and storage patterns to ensure performance, reliability, and governance across AI workloads

  • Write production-quality code, conduct code reviews, troubleshoot performance issues, and continuously improve system reliability, scalability, and observability

You're our ideal candidate if you have:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field, with 5+ years of experience in data, software, ML, or AI engineering

  • Proficiency in writing clean, maintainable code (i.e. Python, Java, SQL, Spark) with strong software engineering fundamentals, including version control, testing, and code review best practices

  • Experience developing and integrating AI-powered systems such as LLM applications, RAG pipelines, or agent-based workflows into secure, production environments

  • Deep understanding of data modeling, distributed systems, storage optimization, and performance turning for large-scale AI and analytics workloads

  • A solid understanding of the ML data lifecycle, including feature engineering, model integration, deployment support, and monitoring

  • Excellent collaboration and communication skills, with the ability to translate ambiguous business problems into well-structured technical designs, collaborating effectively with product, platform, and cross-functional engineering teams

What's in it for you?

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;

  • Leaders who support your development through coaching and managing opportunities;

  • Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada's AI and data innovation. As part of Canada's largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we're at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

#TECHPJ

#Ll-POST

Job Skills

AI Agents, Apache Spark, Big Data Analytics, Big Data Management, Cloud Computing, Data Mining, Data Science, Data Warehousing (DW), ETL Development, Hadoop Distributed File System (HDFS), Java (Programming Language), Large Language Models (LLMs), Machine Learning (ML), Model Development, Python (Programming Language), Retrieval-Augmented Generation, Structured Query Language (SQL)

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-06-16

Application Deadline:

2026-08-07

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME