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Associate Data Engineer Jobs in Maple, ON (NOW HIRING)

Walmart

(CAN) Quality Engineer III

Mississauga, ON · On-site

Data engineering background , Pyspark, Kafka Leadership Expectations: Respect the Individual: Demonstrates and encourages respect for others; drives a positive associate and customer experience for ...

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON · On-site

Collaborate with data engineers to ensure reliable, scalable data pipelines that support model ... Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning ...

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON · On-site

Collaborate with data engineers to ensure reliable, scalable data pipelines that support model ... Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning ...

Walmart

Data Developer III

Mississauga, ON · On-site

CA$91K - CA$126K/yr

... data engineering, and modeling practices. The role may support data strategy, governance, and ... Demonstrates and encourages respect for others; drives a positive associate and customer experience ...

Bits In Glass

Databricks Solution Architect

Toronto, ON · Remote

Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI ... Databricks GenAI Engineer Associate certification. * Exposure to enterprise engagement cycles and ...

Bits In Glass

Databricks Solution Architect

Toronto, ON · Remote

Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI ... Databricks GenAI Engineer Associate certification. * Exposure to enterprise engagement cycles and ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Maple, ON

Associate Data Engineer information

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What cities near Maple, ON are hiring for Associate Data Engineer jobs?

Cities near Maple, ON with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Maple, ON as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

Data Domain Modeler, Deloitte Global Technology

Deloitte

Toronto, ON • Hybrid

CA$85K - CA$156K/yr

Full-time

Life, PTO

Posted 26 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Job Type: Permanent 
Work Model: Remote 
Reference code: 134003   
Primary Location: Toronto, ON  
All Available Locations: Toronto, ON; Halifax, NS; Ottawa, ON; Vancouver, BC

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.


By living our Purpose, we will make an impact that matters.

  • Have many careers in one Firm.
  • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
  • Learn from deep subject matter experts through mentoring and on the job coaching

Deloitte Global is the engine of the Deloitte network. Our professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization.

What will your typical day look like?

Role Overview

We are seeking a Data Domain Modeler to define, standardize, and govern the core data structures and semantics across enterprise data domains (e.g., Customer, Finance, Workforce).

This role is critical to eliminate inconsistent definitions across systems, enable reusable data products, and establish a canonical data foundation for the Global Data Platform.

The role will work closely with Platform Architecture, Data Product Pods, and Domain Stakeholders to ensure data consistency and alignment across the enterprise.

Key Responsibilities

  • Define and maintain canonical data models for assigned domain(s)
  • Establish standard entity definitions, relationships, and domain boundaries
  • Create and maintain business glossaries and data dictionaries
  • Develop logical data models at the entity and relationship level
  • Partner with data product pods to ensure alignment with domain models
  • Define data ownership, stewardship, and quality standards
  • Resolve cross-system data conflicts and inconsistencies
  • Collaborate with platform and engineering architects to ensure implementation alignment
  • Maintain centralized documentation and identify gaps for remediation
About the team

Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.

Enough about us, let’s talk about you

Required Skills & Experience

  • At least 4 years of strong experience in logical data modeling and domain-driven design
  • Experience defining canonical models across multiple enterprise systems
  • Experience with data governance, business glossaries, and metadata management
  • Exposure to enterprise systems such as CRM, ERP, or MDM platforms
  • Ability to resolve conflicting data definitions across distributed environments
  • Strong stakeholder management and workshop facilitation skills

Nice to Have

  • Experience with Master Data Management (MDM)
  • Knowledge of reference data and taxonomy design
  • Experience working in data governance forums or review boards
  • Databricks Certified Data Engineer (Associate or Professional)
Total Rewards


The salary range for this position is $85,000 - $156,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.  Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca  for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent  recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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