Data Engineer I

Description

:

Purpose

We are the Data Strategy & Implementation team. We own the pipelines that
bring data into our platform and the curated data products that flow back out
to our partners. From onboarding a brand-new source, to building and hardening
the ETL that moves and shapes it, to publishing governed data products, we are
the team that turns raw, scattered data into trusted, reusable assets the wider
business depends on.

People
You will join a close-knit group of data engineers and analysts who take real
ownership of what they build. We value people who dig into problems end to end,
recognize each other's contributions, and are always looking for a smarter,
faster way to work — including making the most of modern AI tooling.

Presence
We work in a hybrid model, combining focused remote days with regular in-person
collaboration. You will partner daily with source-system owners, platform and
networking teams, and the partners who consume our data products.


WHY THIS ROLE MATTERS
Everything downstream — analytics, reporting, AI models, regulatory and
compliance deliverables — depends on data arriving cleanly, securely, and on
time. As a Data Engineer on this team, you are at the front of that chain. You
will onboard new sources into our ingestion framework, build and debug the
Databricks notebooks and ETL that process them, and open the right paths through
firewalls and access controls so the data can flow. Your work directly
determines how quickly the business can act on new data and how much they can
trust it.

WHAT YOU'LL DO

• Independently design, build, and debug Databricks notebooks and ETL

• pipelines that ingest and transform data from a wide range of sources.

• Onboard new data sources into our ingestion framework end to end — from first

• connection through to a production-ready, monitored pipeline.

• Establish secure connectivity to source systems: work through networking

• fundamentals to open firewalls, and provision the right access across diverse

• database and API technologies.

• Write secure, high-performance ETL code that scales, using Python, Spark, and

• PySpark on Azure Data Factory, Azure Databricks, ADLS, and Delta Lake.

• Own the reliability of your pipelines — troubleshoot issues, tune performance,

• and keep data flowing accurately into curated data products.

• Collaborate with source owners, platform, networking, and partner teams to

• deliver ingestion and data-product work on the release cadence.

WHERE YOU'LL WORK

This is a hybrid role. You will spend part of your week working remotely and
part collaborating with the team and stakeholders in person. Expect close
day-to-day partnership with the data engineers, analysts, and platform teams who
keep our ingestion and data-product delivery moving.

EXPERIENCE AND / OR EDUCATION

• Hands-on experience building and debugging data pipelines on Azure Databricks,

• Azure Data Factory, ADLS, and Delta Lake.

• Strong programming skills in Python, plus practical experience with Spark and

• PySpark for large-scale data processing.

• Solid grounding in relational databases and SQL, with the ability to provision

• and troubleshoot access across a variety of database technologies.

• Working knowledge of networking fundamentals — enough to open firewalls to

• data sources and reason about connectivity between systems.

• Comfort with API basics and common authentication patterns, and the judgment

• to write secure, high-performance ETL code.

PREFERRED QUALIFICATIONS

• Experience onboarding new sources into an established ingestion framework.

• Familiarity with building or exposing curated data products for downstream or

• partner consumption.

• Exposure to data governance, data quality, or data lifecycle management

• practices.

• Experience using AI-assisted development tools to speed up engineering work.

• A track record of strong end-to-end ownership and mentoring or recognizing

• teammates.

WHY JOIN US
You will own meaningful problems from end to end and see your pipelines power
analytics, reporting, AI, and compliance work across the business. We invest in
breadth — you will get exposure across ingestion and data-product delivery and
room to grow toward more senior engineering or product ownership paths. If you
enjoy solving real connectivity and performance challenges, take pride in secure
and reliable code, and want to work with a team that genuinely supports each
other, we would love to hear from you.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. 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.

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