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Big Data Support Engineer Jobs in Ontario (NOW HIRING)

You are a self-directed professional, comfortable supporting the diverse data needs of multiple ... big data' technologies, with a focus on both bulk and streaming data. * Engineering Excellence:

Big Data - Spark, Hive, Java, CDP, 6 Years + with 3 Years of Dev experience on Big Data * Analyze ... Provide production deployment support and investigate data quality issues. * Work with various ...

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

The Opportunity ShyftLabs is seeking a skilled Data Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires ...

Support consultants will work as part of the CDST to assist clients facing teams with data ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

You will work closely with data scientists, big data developers, and product managers, to create ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Support consultants will work as part of the CDST to assist clients facing teams with data ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

Support consultants will work as part of the CDST to assist clients facing teams with data ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

Sharing analytics data with clients to justify your decisions * Fine tuning PolyAI's support workflow Essential Skills * Experience on a Support/Service Desk as a Support Agent, Support Engineer ...

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Big Data Support Engineer information

See Ontario salary details

$26K

$92.4K

$152.5K

How much do big data support engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for big data support engineer in Ontario is $92,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $119,500.00 per year, depending on experience, location, and employer.

What is a big data support engineer?

A Big Data Support Engineer is an IT professional responsible for maintaining, troubleshooting, and optimizing big data systems and platforms. They help ensure that data pipelines, storage solutions, and analytics tools run smoothly and efficiently, often working with technologies like Hadoop, Spark, and cloud-based data services. Their role involves resolving technical issues, monitoring system performance, managing data security, and collaborating with data engineers and analysts to support business operations. These engineers also document processes and provide technical support to users leveraging big data platforms. Overall, they play a crucial role in enabling organizations to manage and utilize large volumes of data effectively.

How does a big data support engineer typically interact with development and operations teams to resolve issues?

A Big Data Support Engineer regularly collaborates with both development and operations teams to troubleshoot and resolve data pipeline, cluster, or performance issues. They often serve as a bridge, translating operational alerts and technical problems into actionable insights for developers, while also ensuring that solutions adhere to infrastructure and security best practices. This cross-functional teamwork often involves participating in incident response meetings, root cause analyses, and implementing long-term fixes, making strong communication and problem-solving skills essential for success in this role.

What are the key skills and qualifications needed to thrive as a big data support engineer, and why are they important?

To thrive as a Big Data Support Engineer, you need expertise in data analysis, database management, troubleshooting, and strong knowledge of big data frameworks, usually backed by a degree in computer science or a related field. Familiarity with Hadoop, Spark, SQL, cloud platforms, and relevant certifications (like Cloudera or AWS) is typically required. Excellent problem-solving abilities, communication skills, and the capacity to work under pressure help you excel in supporting complex big data environments. These skills ensure efficient resolution of technical issues, minimize downtime, and maintain the performance and reliability of critical data systems.

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

AspectBig Data Support EngineerData Engineer
Primary FocusMaintaining and troubleshooting big data systems and infrastructureDesigning, building, and optimizing data pipelines and architectures
Skills & CertificationsKnowledge of Hadoop, Spark, Linux, scripting; certifications like Cloudera or HortonworksProficiency in SQL, Python, ETL tools; certifications in cloud platforms or data engineering
Work EnvironmentSupport teams, data centers, cloud environmentsDevelopment teams, data warehouses, cloud platforms

While both roles work with big data technologies, a Big Data Support Engineer primarily focuses on maintaining and troubleshooting existing systems, whereas a Data Engineer designs and builds data pipelines and architectures. The roles often overlap but differ in their core responsibilities and skill sets.

What are popular job titles related to Big Data Support Engineer jobs in Ontario?

For Big Data Support Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Big Data Support Engineer jobs in Ontario look for?

The top searched job categories for Big Data Support Engineer jobs in Ontario are:

Infographic showing various Big Data Support Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 28% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $92,417 per year, or $44.4 per hour.

Big Data Engineer

TMX Group

Toronto, ON • Hybrid

Full-time

Re-posted 19 days ago


Job description

Venture outside the ordinary - TMX Careers

The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations enhancing capital markets. United as a global team, we're connecting cross-functionally, traversing industries and geographies, moving opportunity into action, advancing global economic growth, and propelling progress. Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we're powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product ingenuity to consumers, and career exploration to our team.

Ready to be part of the action?

Architect and build mission-critical, enterprise big data systems from scratch for Canada's premier financial market infrastructure.


We are seeking a seasoned and motivated Big Data Engineer to join our growing Enterprise Data and Advanced Analytics Platform team. The ideal candidate is an expert data pipeline builder and data wrangler who thrives on optimizing data systems and architecting them from the ground up. You are a self-directed professional, comfortable supporting the diverse data needs of multiple teams, systems, and products across a full spectrum of cutting-edge technologies.


  • This role reports to: Senior Manager, Data & Analytics & Enterprise Data Architect
  • Job Location: Hybrid (2-3 days in office) - based in Toronto, ON.

Key Accountabilities


  • Architect & Maintain Pipelines: Design, construct, and manage robust, large-scale, and efficient data pipeline architectures to meet complex functional and non-functional business requirements.
  • Process Optimization: Drive continuous internal process improvements by automating manual tasks, optimizing data delivery, and re-designing infrastructure for enhanced scalability and performance.
  • Cloud Infrastructure Management: Administer and manage a comprehensive suite of AWS services, including S3, RDS, EC2, EMR, VPC, Security Groups, CloudFormation, CloudWatch, Managed Airflow, and SNS.
  • Data Ingestion & ETL: Develop optimal infrastructure for Extract, Transform, and Load (ETL) operations from disparate data sources using SQL and AWS 'big data' technologies, with a focus on both bulk and streaming data.
  • Engineering Excellence: Adhere to development best practices, ensuring meticulous code management, branching, and merging within GIT repositories.
  • Operational Support: Provide on-call and off-business hours support on a rotational basis to ensure system reliability.
  • Collaboration & Mentorship: Act as an effective team player and mentor to junior staff through technical reviews and brainstorming sessions, while expertly managing stakeholder expectations and inquiries.

Must Have(s)


  • Education: University degree, College diploma, or equivalent experience in Computer Science, Statistics, or Mathematics.
  • Experience: 7+ years of overall IT experience, with 4+ years specifically focused on Big Data technologies (Spark, Hive, Presto, etc.).
  • AWS Expertise: Strong technical proficiency in AWS cloud technologies, specifically S3, EC2, and EMR.
  • Data Platforms: Proven experience working with Snowflake.
  • Programming: Proficiency in Python, Scala, Shell Scripting, or Java.
  • Data Modeling: Solid understanding of data warehousing and data modeling techniques.
  • Performance Tuning: Hands-on experience in performance tuning for Spark jobs and Hive tables.
  • Agile Delivery: Experience working within Agile development methodologies.
  • Soft Skills: Meticulous attention to detail, excellent analytical problem-solving skills, and superior interpersonal communication abilities.

Nice to Have(s)


  • Domain Knowledge: Good understanding of the Equity Markets business.
  • DevOps Tools: Experience with Terraform or Ansible.
  • Streaming: Experience with Kafka.
  • Machine Learning: Experience designing technology stacks tailored for machine learning.
  • Strategy: A strategic mindset with the ability to multitask in a fast-paced environment.

Salary Range: 130,000/year - 140,000/year CAD. Please note that the salary range included is a guideline only. The salary offered may vary based on factors, including, but not limited to, the successful candidate's relevant knowledge, skills, and experience.

The recruiting efforts for this role are intended to fill a vacant position.


In the market for...

Excitement - Explore emerging technology and innovation, as well as ventures and digital finance that shape the future of global markets! Experience the movement of the market while grounded in the stability of close to 200 years of success.

Connection - With site hubs in some of the world's most multicultural cities, we leverage our size and structure to create rich connections and belonging while experiencing powerful global impact through our work.

Impact - More than a platform, we use our talents to power mission-critical systems that drive global economic advancement, innovation, and growth. As well, our employee-led Team Impact spreads social good via our giving strategy.

Wellness - From empathetic leadership to a culture of flexibility and balance, we believe wellness at work creates the maximum yield and a stronger "we". Plus, with a cloud-first and hybrid workstyle, as well as generous time-off and leaves, we support a life well lived!

Growth - From a growth mindset in our work, to expansion in our business, TMX is home to action-takers energized by the achievement of ambitious growth.

Ready to enrich your career with impactful work, leaders who truly care, and the flexibility and programs to help you thrive as part of #TeamTMX ? Apply now.

Please note that our company is not currently sponsoring work permit applications and the applicant must be authorized to work in the country where this position is located.

TMX is committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide accommodations for applicants and employees who require it.