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Added 15 mins ago
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Senior Data Engineer :Scala, Spark, Python, Hadoop, Databricks

Toronto, ON, Canada

Pay: $126,800 - $164,100 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance.
Job type: Full-time
Apply by: Oct 13, 2026
Experience: 5+ years of experience in data engineering with a strong focus on Python, Scala and Spark.
Posting language: English
Posted: Sep 28, 2026

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Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$126,800 - $164,100 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Department Overview

TD Securities provides a wide range of capital market products and services to corporate, government and institutional clients who choose us for our knowledge and experience in six key areas of finance: Investment Banking, Debt Capital Markets, Institutional Equities, Private Equity, Precious Metals and Foreign Exchange & Money Market. Our services include the underwriting and distribution of new debt and equity issues, providing advice on strategic acquisitions and divestitures, and executing daily trading and investment needs.

With more than 6,500 professionals operating out of 40 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions.

We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day.

Team Description

The Counterparty Credit Risk group at TD Securities is seeking experienced Data Engineers to build the next generation of risk computation platforms. The core mission of the applications we build is to help the firm quantify, understand, and reduce our external total exposure in case of adverse market conditions. We operate within a modern and complex area of finance, operating with sophisticated computational models, supporting billions of calculations daily and leveraging Big Data storage for analytics and data distribution.

Position Overview:

As a Senior Data Engineer in the XVA and CCR data development team, you will be responsible for designing, building, and maintaining scalable data pipelines that power our analytics and data-driven applications. You will work closely with cross-functional teams to deliver high-quality data solutions and ensure the integrity and availability of our data platforms.

Key Responsibilities:

Design and develop distributed data processing systems using Scala, Python and Apache Spark.
Build and optimize large-scale data pipelines for batch and streaming data using Spark.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Maintain a real-time data processing solution build on Scala , Spark , pyspark and Akka/Pekko framework.
Develop and maintain ETL processes to transform and integrate data from various sources.
Experience supporting Credit Risk, Counterparty Credit Risk (CCR), XVA, or Regulatory Reporting data platforms.
Hands-on experience with Databricks Unity Catalog, data lineage, data classification, and access governance frameworks.
Understanding of FpML, financial product modeling, and Capital Markets reference data standards.
Ensure data quality, reliability, and integrity through automated testing and monitoring.
Work with DevOps teams to deploy and manage CI/DC and data pipelines in a cloud environment.
Optimize and tune Spark jobs for performance and scalability.
Participate in code reviews and contribute to the improvement of engineering best practices.
Stay up-to-date with the latest technologies and best practices in data engineering.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
5+ years of experience in data engineering with a strong focus on Python, Scala and Spark.
Strong understanding of data warehousing and data modeling concepts and ETL processes.
Hands-on experience with cloud data platforms like Azure ADLS, Azure Databricks and Dremio.
Hands-on Experience with big data technologies such as Hadoop, Kafka, Hive and HBase.
Hands-on experience with the Akka/Pekko framework for building distributed systems.
Understanding of data communication protocol like REST and GRPC
Proficiency in SQL and experience with relational and NoSQL databases.
Experience with cloud platforms (e.g., GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
Excellent problem-solving skills and ability to work independently and in a team.
Strong communication skills and ability to collaborate with cross-functional teams.

Preferred Skills:

Experience with Apache Kafka or Confluent is a plus.
Proficiency with C# for excel addins.
Experience with CI/CD pipelines and infrastructure as code (IaaC).
Knowledge of data governance and security best practices.
Knowledge of Capital Markets is a plus
Familiarity with machine learning and data science workflows.
Experience with real-time analytics and event-driven architectures.

Non-Technical Skills:

Experience in collaborating efficiently within a global team
Strong communication skills
Demonstrable experience working in a fast-paced environment, and supportive of flexible goals aligned with business priorities
Knowledge of derivatives pricing and capital markets is a plus

Additional Information:

Join in on what others in TD Global Technology Solutions are doing:

Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
Learn voraciously, stretch your thinking, share your knowledge and educate others.
Communicate and collaborate with both technical and non-technical professionals.
Cultivate winning relationships by building trust with business and technology partners.
Share our commitment to productivity, effectiveness and operational efficiency.

Who We Are:

TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience. With more than 6,500 professionals operating out of 40 cities across the globe, we strive to make every interaction, product and experience remarkably human and refreshingly simple. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment bank.

Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

Design, build, and maintain scalable batch and streaming data pipelines and distributed processing systems for counterparty credit risk analytics. Ensure data quality and platform reliability, optimize Spark workloads, and collaborate with stakeholders and DevOps teams on testing, governance, and cloud deployment.

Requirements

Requires a bachelor's or master's degree in computer science, engineering, or a related field, and at least five years of data engineering experience focused on Python, Scala, and Spark. Candidates should have experience with data warehousing, ETL, cloud data platforms, big data technologies, distributed systems, SQL, and relational or NoSQL databases; capital markets or credit risk experience is relevant.

Skills

Scala
Python
Apache Spark
PySpark
Hadoop
Databricks
Data Engineering
Data Pipelines
ETL
SQL
Kafka
Akka/Pekko
Azure Databricks
Azure Data Lake Storage
Data Governance
Capital Markets

Benefits

Health And Well-Being Benefits
Savings And Retirement Programs
Paid Time Off
Banking Benefits And Discounts
Career Development
Reward And Recognition Programs

Visa sponsorship

Not detected in the job text

Keywords

Scala
Python
Apache Spark
PySpark
Hadoop
Databricks
Unity Catalog
Azure Data Lake Storage
Dremio
Kafka
Confluent
Hive
HBase
Akka/Pekko
SQL
REST
gRPC
Docker
Kubernetes
CI/CD
Infrastructure As Code
ETL
Data Warehousing
Data Modeling
Data Lineage
Data Classification
Access Governance
Counterparty Credit Risk
XVA
FpML

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