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Senior Data Engineering Jobs in Toronto, ON (NOW HIRING)

Talent To Hire Inc.

Senior Data Engineer

Toronto, ON · Remote

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid) Our client is interviewing to onboard a ... What You'll Bring: * 8+ years of data engineering experience. * Strong skills in SQL, Python ...

CorGTA

Senior Data Engineer

Toronto, ON · Hybrid

CA$100/hr

Senior Data Engineer Structure: Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month ... Design, build and deploy scalable data engineering pipelines using Snowflake, AWS and Matillion

Omers

Senior Data Engineer

Toronto, ON

Reporting to the Manager, Software Engineering, the Senior Data Engineer works across investment teams including Capital Markets, Infrastructure, Private Equity, Private Capital and Ventures, and ...

JLL

Senior Data Engineer

Toronto, ON · Remote

Senior Data Engineer - JLL What this job involves: As a Senior Data Engineer at JLL, you will ... Champion data engineering best practices, standards, and innovation across the organization through ...

MCKESSON

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing ... Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing ... Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing ... Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale ...

Hays

Senior Data Engineer

Toronto, ON

CA$70 - CA$80/hr

Senior Data Engineer Rate : $60-70/hr T4; $70-80/hr INC Length : 6 months (strong potential for ... Collaborate with cross-functional stakeholders including Product, Engineering, Marketing, and ...

Rockstar

Senior Data Engineer

Toronto, ON

A Sr. Data Engineer is sought to join the team. This individual will play a key role in evolving ... Expertise in data engineering will help build strong, performant pipelines. What You'll Own - Data ...

Xplore Inc.

Sr. Data Engineer

Toronto, ON · On-site

We are looking for a Senior Data Engineer to join our team in Markham, Ontario, Fredericton, New ... At least five years of practical experience in Data Engineering, Data Science, or full-stack ...

New

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

Senior Data Engineer Resume Due Date: Wednesday, June 25, 2025 (5:00PM EST) Number of Vacancies: 2 ... engineering or other relevant programs within data engineering, data analysis, artificial ...

Konrad

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

About The Role As a Senior Data Engineer you'll be tasked with designing, building, and maintaining ... Bachelor's degree or higher in Computer Science, Data Engineering, Information Technology, or a ...

Morningstar, Inc.

Senior Data Engineer

Toronto, ON · On-site

CA$90K - CA$132K/yr

The Role: We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in ... Minimum 5+ years of experience in data engineering or related roles. * Strong hands-on experience ...

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

Senior Data Developer Level: MP5 Hourly Rate: $80 - $95/hour Duration: 10 Months Hours of work: 35 Location: 889 Brock Rd., Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data ...

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Senior Data Engineering information

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

What are popular job titles related to Senior Data Engineering jobs in Toronto, ON?

For Senior Data Engineering jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineering jobs in Toronto, ON look for?

The top searched job categories for Senior Data Engineering jobs in Toronto, ON are:

Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering job openings in Toronto, ON as of June 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Senior Data Engineer

Talent To Hire Inc.

Toronto, ON • Remote

Full-time

Re-posted 23 days ago

Job description

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid)

Our client is interviewing to onboard a Senior Data Engineers to join their Data & Analytics team within the Wealth Technology group. We are looking for Data Engineers with proven track record working within the Wealth Mgmt. / Financial sector. You’ll help build and optimize scalable data pipelines, support data governance, and enable advanced analytics across the organization. Be part of a high-impact team driving data innovation in the wealth tech space.

What You’ll Do:

  • Design, build, and maintain robust ETL/ELT data pipelines.

  • Collaborate with analysts and business teams to translate needs into technical solutions.

  • Recommend scalable data architectures using AWS, Snowflake, and modern data stack tools.

  • Ensure data quality, observability, and governance across systems.

  • Lead or support migration projects to cloud-based platforms.

  • Mentor junior engineers and promote engineering best practices.

What You’ll Bring:

  • 8+ years of data engineering experience.

  • Strong skills in SQL, Python, Airflow, Snowflake, AWS Glue, S3, Lambda, and Terraform.

  • Experience with CI/CD, data lineage, and monitoring tools.

  • Financial services experience is a MUST.

    Screening Questions:

    1-How proficient are you with programming languages and tools for data engineering tasks (e.g., SQL, Python, Airflow, Terraform)? how many years?

    2- Can you describe your experience designing, building, and maintaining ETL/ELT pipelines? Which tools and technologies did you use?

    3-Have you worked directly with analysts or business stakeholders to translate business needs into technical data solutions? Can you share an example?

    4-What is your experience designing data architectures on AWS using services like Glue, S3, Lambda, and Redshift or Snowflake?

    5-How do you ensure data quality, observability, and lineage in your pipelines? What tools or practices have you implemented?

    6-Have you participated in or led a cloud data migration project? What was your role and what challenges did you face?

    7-Describe a time when you mentored junior engineers or promoted engineering best practices within a team.

    8-How many years of hands-on experience do you have in data engineering? What types of systems or industries have you worked in?

    9- Have you worked with CI/CD pipelines for data deployments or infrastructure? What tools did you use and how did you manage rollouts?


    10-Do you have experience working in financial services or other regulated industries? If so, what types of data and systems were involved?

Send your resume and reply to above screening questions to : sasha@talenttohire.com

For more positions , visit: https://www.linkedin.com/company/talenttohire/jobs