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Data Support Engineer Jobs in Ontario (NOW HIRING)

CIBC

Azure Data Platform Support Engineer

Toronto, ON · Hybrid

As the Azure Data Platform Support Engineer, you'll be at the heart of CIBC's digital transformation, successfully managing EDGE Data Platform support and integration of applications. You will be ...

Teledyne

Technical Support Engineer

Ancaster, ON · On-site

CA$68K - CA$91K/yr

... engineering insights. * Maintain the customer support portal, ensuring documentation, software, and ... data per ITAR/EAR US regulations). Applicants must be eligible to apply for and obtain the ...

PwC

CyberArk Support Engineer

Toronto, ON · Hybrid

CA$84K - CA$134K/yr

... sensitive data. In threat intelligence and vulnerability management at PwC, you will focus on ... AsaCyberark support Senior Associate,unlock your potential and embrace the chance to drive ...

PwC

CyberArk Support Engineer

Ottawa, ON · Hybrid

CA$84K - CA$134K/yr

... sensitive data. In threat intelligence and vulnerability management at PwC, you will focus on ... AsaCyberark support Senior Associate,unlock your potential and embrace the chance to drive ...

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Showing results 1-20

All JobsData Support Engineer JobsData Support Engineer Jobs in Ontario

Data Support Engineer information

See Ontario salary details

$24.5K

$72.2K

$129K

How much do data support engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data support engineer in Ontario is $72,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $88,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Support Engineer, and why are they important?

To thrive as a Data Support Engineer, you need a solid background in database management, SQL, data analysis, and troubleshooting, often supported by a degree in computer science or a related field. Familiarity with database systems (like MySQL, PostgreSQL, or Oracle), data analytics tools, and ticketing or monitoring platforms is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in responding to user issues and collaborating with technical teams. These skills ensure timely resolution of data-related problems and contribute to the reliability and efficiency of organizational data systems.

What is the difference between Data Support Engineer vs Data Analyst?

AspectData Support EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Math, or related; often certifications like Microsoft Data Analyst Associate
Work EnvironmentTechnical support teams, data infrastructure, troubleshooting data systemsData visualization, reporting, data interpretation in business settings
Employer & Industry UsageTech companies, data-driven organizations, IT departmentsMarketing, finance, healthcare, consulting firms

While both roles involve working with data, Data Support Engineers focus on maintaining and troubleshooting data systems and infrastructure, ensuring data availability and integrity. Data Analysts primarily interpret data to generate insights and support decision-making. The roles often overlap in technical skills but differ in their core responsibilities and focus areas.

How do Data Support Engineers typically collaborate with data analysts and software developers to resolve technical issues?

Data Support Engineers often act as a bridge between technical teams, such as data analysts and software developers, to troubleshoot and resolve data-related issues. They work closely with analysts to understand data discrepancies, validate data pipelines, and ensure data integrity. Simultaneously, they collaborate with developers to address bugs in data infrastructure or optimize system performance, frequently participating in cross-functional meetings or ticketing workflows. This collaborative environment not only helps them resolve issues efficiently but also offers continuous learning through exposure to a variety of technical challenges.

What are Data Support Engineers?

Data Support Engineers are technical professionals who specialize in maintaining, troubleshooting, and optimizing data systems and infrastructure. They work to ensure data pipelines, databases, and related tools function smoothly, assisting both internal teams and clients with data issues. Their responsibilities often include monitoring data flows, resolving system errors, and collaborating with data engineers or analysts to implement improvements. Data Support Engineers play a critical role in maintaining data quality and availability in organizations that rely heavily on data-driven processes.
What are popular job titles related to Data Support Engineer jobs in Ontario? For Data Support Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Support Engineer jobs in Ontario look for? The top searched job categories for Data Support Engineer jobs in Ontario are:
Data Support Engineer jobs near you
Infographic showing various Data Support Engineer job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,223 per year, or $34.7 per hour.

Lead Data Support Analyst

Talent To Hire Inc.

Toronto, ON • On-site

Full-time

Posted 13 days ago

Job description

Job Title: Lead Data Support Analyst
Location: Toronto, ON (Hybrid)
Department: Wealth Technologies

We are interviewing for our client seeking a Lead Data Support Analyst to oversee and directly contribute to the daily reliability and performance of its enterprise data and reporting ecosystem. This hybrid role blends hands-on technical troubleshooting with team leadership responsibilities.

The successful candidate will lead a team of analysts supporting critical data workflows and serve as a key liaison between business stakeholders, data engineering, and reporting teams. This role requires deep technical expertise, strong leadership skills, and the ability to diagnose and resolve complex data issues efficiently — ensuring the client’s reporting platforms remain accurate, trusted, and continuously available.Background in financial services preferred. Our client utilizes Snowflake as its primary data warehouse and Sigma as the reporting platform. This role leads a team of data support analysts, ensuring the reliability, accuracy, and smooth operation of data and reporting systems.

Key Responsibilities:

  • Lead and mentor a team managing support tickets, data issues, and platform concerns

  • Troubleshoot and resolve data load failures, access issues, and reporting anomalies across Snowflake, Sigma, and related tools

  • Monitor daily data operations and ensure scheduled pipelines and reports run smoothly

  • Act as the primary escalation point for complex or high-impact data issues

  • Collaborate with reporting analysts and business users to ensure data accuracy and consistency

  • Work with data engineering to resolve root causes of recurring issues and implement long-term solutions

  • Maintain documentation, runbooks, and dashboards to track support activity and performance

  • Identify opportunities to improve support processes through automation and better monitoring

Qualifications:

  • 5+ years of experience in data analytics, operations, or platform support (including 2+ years in a leadership role)

  • Strong hands-on skills in Snowflake, SQL, and modern data ecosystems

  • Experience with Sigma or other BI tools (e.g., Tableau, Power BI)

  • Proven ability to lead teams, resolve technical issues, and communicate with stakeholders across departments

  • Proven experience with support tools like Jira, Confluence, or ServiceNow

  • Degree in Computer Science, Information Systems, or a related field

  • Solid understanding of incident response and root cause analysis

Screening Questions:

1-Describe a time you resolved a critical data pipeline or reporting failure. What tools did you use and how did you troubleshoot it?

2-What hands-on experience do you have with Snowflake and reporting tools like Sigma, Tableau, or Power BI?

3-How do you lead and prioritize during a high-impact data issue involving multiple teams?

4-Give an example of how you improved or automated a support process in your last 2 jobs?

Send your resume to: sasha@talenttohire.com

For more jobs check us here: https://www.linkedin.com/company/talenttohire