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Entry Level Aws Data Engineer Jobs in Toronto, ON

Data Engineering Consultant

Toronto, ON · On-site

CA$95K - CA$120K/yr

We build solutions across diverse domains - backend, frontend, cloud, mobile, data engineering ... Python, Databricks, PySpark or Spark, SQL, Airflow, Cloud (AWS, GCP, Azure) * Strong communication ...

Data Analyst

Toronto, ON · On-site

CA$55K - CA$95K/yr

Partner with Data Engineers to support the successful implementation of solutions. QUALIFICATION ... Visualization e.g., Sigma, AWS Quicksight * Modelling e.g., MS Excel * Database system e.g ...

Data Operations Specialist

Toronto, ON · On-site

CA$69K - CA$119K/yr

Collaborate with analytics, engineering, and project teams to streamline data pipelines and support ... Workflow orchestration tools - CRON, Apache Airflow, AWS Step Functions * CI/CD pipelines ...

AI/ML Engineer - Remote

Toronto, ON · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI ...

AI Engineering Specialist

Toronto, ON · On-site

CA$108K - CA$152K/yr

... data in Teams and Office. * Build and orchestrate agents on AWS usingAmazon Bedrock (Agents ... Engineer Associate. * Experience embedding Responsible AI, evaluation frameworks, and enterprise ...

Applied AI Engineer

Toronto, ON · Remote

CA$110K - CA$150K/yr

Own the data engineering layer that feeds AI systems: pipelines, retrieval architectures, context ... Cloud platform experience (Azure, AWS, or GCP) * Experience with reinforcement learning or ...

About The Role As an entry level Software Developer you'll be tasked with working on both mobile ... data. While we sincerely appreciate all applications, only those candidates selected for an ...

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$70K - CA$150K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Collaborate with software engineers, data scientists, and product teams to operationalize AI ...

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Collaborate with software engineers, data scientists, and product teams to operationalize AI ...

Showing results 21-40

Entry Level Aws Data Engineer information

What does an entry level AWS data engineer do?

An Entry Level AWS Data Engineer is responsible for helping to design, build, and maintain data pipelines and infrastructure in Amazon Web Services (AWS) environments. They work with data storage tools like Amazon S3, databases such as Amazon RDS or Redshift, and data processing services like AWS Glue or EMR. Their role often involves data extraction, transformation, and loading (ETL), ensuring data is accessible and usable for analytics and business needs. They typically collaborate with data scientists, analysts, and senior engineers while following best practices for cloud security and scalability.

What are the key skills and qualifications needed to thrive as an entry level AWS data engineer?

To thrive as an Entry Level AWS Data Engineer, you need a solid understanding of data structures, SQL, Python or similar programming languages, and a basic grasp of cloud computing concepts, ideally supported by a relevant degree or coursework. Familiarity with AWS services such as S3, Redshift, Glue, and data visualization or ETL tools, along with certifications like AWS Certified Data Analytics – Specialty, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are crucial for building scalable data solutions, ensuring data quality, and enabling data-driven decision-making for organizations using AWS.

What are some typical projects an entry level AWS data engineer might work on?

As an Entry Level AWS Data Engineer, you may be involved in projects such as building data pipelines, automating data ingestion, or assisting in the migration of on-premises data to AWS cloud services. These projects typically require collaboration with data analysts, senior engineers, and sometimes business stakeholders to ensure that clean, well-structured data is available for reporting and analytics. Your contributions help streamline data flows, improve data quality, and support the team’s ability to make data-driven decisions, providing a strong foundation for future growth and responsibilities.

What is the difference between Entry Level Aws Data Engineer vs Data Analyst?

AspectEntry Level Aws Data EngineerData Analyst
Required CredentialsBasic AWS certifications, SQL, PythonExcel, SQL, basic data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud infrastructureBusiness, marketing, finance sectors

While both roles involve working with data, Entry Level Aws Data Engineers focus on building and maintaining cloud-based data pipelines using AWS tools, whereas Data Analysts interpret data and create reports to support business decisions. The roles often overlap in skills like SQL and basic scripting, but differ in their core responsibilities and work environments.

What are the most commonly searched types of Aws Data Engineer jobs in Toronto, ON?

The most popular types of Aws Data Engineer jobs in Toronto, ON are:

What are popular job titles related to Entry Level Aws Data Engineer jobs in Toronto, ON?

For Entry Level Aws Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Aws Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Entry Level Aws Data Engineer jobs in Toronto, ON are:

Infographic showing various Entry Level Aws Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

2027 Winter Co-op Data Engineering Software Developer

General Motors

Oshawa, ON • Hybrid

CA$4.2K - CA$4.7K/mo

Full-time

Posted 6 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 308 frontline employees who took The Breakroom Quiz

7.3

Company rating compared to similar companies: 7.3 out of 10

Automakers average

Based on 6,329 frontline employees who took The Breakroom Quiz


Job description

Job Description

Vacancy Status:

This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)

AI Disclosure:

As part of the application process, Artificial Intelligence will be used in the hiring process for this role.

Work Arrangement:

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre (MEC)or Oshawa Elevation Centre (OEC) three times per week at minimum, or other frequency dictated by the business.

About GM:

At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program you will gain hands-on career specific experiences to maximize your real world potential.

Collaborating on innovation challenges, interacting with Industry leaders, attending cross-functional networking events and volunteering for community service activities.

The Role
The Data Engineering organization at General Motors is driving innovation by harnessing data to shape the future of mobility. We are seeking a highly motivated and detail-oriented Co-Op Engineer to join our team. In this role, you will contribute to the development of software pipelines that configure the behavior of vehicle data recording systems, including both the Control and Data planes. This position requires a solid foundation in software development principles and strong collaboration skills to work effectively across diverse engineering teams. The ideal candidate will have a strong background in software development, a passion for data-driven systems, and experience in managing and scaling data flows.

What You'll Do (Responsibilities)

  • Develop and maintain configuration files that define the operational state of the vehicle's Control and Data planes.

  • Design, implement, and maintain software pipelines to verify the integrity of vehicle data and control plane parameters.

  • Build software tools to ingest, cross-check, manage changes, and release data recording configuration files.

  • Create workflows for automated verification of configuration parameters.

  • Maintain detailed records of configuration files, including parameter definitions, boundaries, optimal values, and system-level impacts.

  • Support CI/CD and DevOps initiatives for automated integration, testing, and release of vehicle data recording software parameters.

  • Analyze vehicle data logs to identify discrepancies and optimize system performance.

  • Contribute to the continuous improvement of vehicle data recording and analytics software.

Required Qualifications:

  • Currently pursuing a Bachelor's degree in Computer Engineering or Computer Science, Electrical engineering, Data Science, Data Engineering or equivalent

  • Eligible to work full time hours, 40 hours a week for a term of 8 or 12 months (consecutive semesters) starting January 2027

Preferred Qualifications:

  • Strong understanding of software development principles and best practices.

  • Proficiency in programming languages such as Python, Java, or C/C++.

  • Experience with GitHub, GitHub Actions, and workflow automation.

  • Solid grasp of logging and data processing concepts.

  • Strong analytical and problem-solving skills with the ability to troubleshoot complex issues.

  • Excellent communication and collaboration skills, with a team-oriented mindset.

  • Experience with calibration/configuration tools and processes.

  • Familiarity with cloud platforms (AWS, GCP, Azure) and their logging services.

  • Contributions to data-intensive open-source projects.

  • Expertise in CI/CD pipelines and automation tools.

  • Knowledge of embedded software development and optimization.

NOTE- YOU MUST BE ENROLLED IN A CO-OP PROGRAM AND MEET THE PROGRAM'S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.

The monthly salary range for this role is $4,264.00 to $4784.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Sponsorship:PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP

THIS JOB IS NOT ELIGIBLE FOR RELOCATIONS BENEFITS. ANY RELOCATION COSTS WOULD BE THE RESPONSIBILITY OF THE SELECTED CANDIDATE.

Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.

For more information about GM Canada, visit our website atwww.gm.ca/careers


General Motors of Canada values diversity and is an equal opportunity employer

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Working at General Motors


What General Motors employees say

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908