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Big Data Engineer Jobs in Ontario (NOW HIRING)

Centraprise

Big Data Engineer

Toronto, ON

Big Data Engineer Employment Type : T4 - Contract Location : Toronto, ON (Onsite) : Skills - Well versed with Data , ETL Processes, SQL and high-level programming languages such Scala, Java ...

TMX Group

Big Data Engineer

Toronto, ON · Hybrid

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 ...

TechBlocks

Data Engineer

Vaughan, ON · On-site

Role: GCP Data Engineer Location: Vaughan, ON Type: Full Time - Contract 6 months (Extendable ... The ideal candidate will have experience working with Python and big data technologies such as ...

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

We're growing fast and we're looking for passionate problem-solvers who are ready to turn big ideas into real outcomes. The Opportunity ShyftLabs is seeking a skilled Data Engineer to support in ...

Targeted Talent

Senior Data Engineer

Kitchener, ON · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Targeted Talent

Senior Data Engineer

Waterloo, ON · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Targeted Talent

Senior Data Engineer

Waterloo, ON · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Targeted Talent

Senior Data Engineer

Kitchener, ON · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Scotiabank

Data Engineer

Toronto, ON · On-site

The Data Engineer will play a critical role in designing, building, and supporting scalable, secure ... Working knowledge of Java and/or Scala, especially in Spark or big data processing environments.

Konrad

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

Experience with big data technologies and concepts (Spark, Hadoop, Kafka). * Excellent analytical ... Familiarity with DevOps practices and CI/CD pipelines. Perks and Benefits * Comprehensive Health ...

MPA Recruitment

Data Engineer

Toronto, ON · On-site

As a Senior Data Engineer, you will be responsible or designing and developing data processing and ... Big Data technologies. The role encompasses the full software lifecycle including design, code ...

Synechron

Cloud Data Engineer

Mississauga, ON · On-site

CA$125K - CA$130K/yr

Role: Cloud Data Engineer The Cloud Data Engineer is responsible for designing, building, and ... Optimize Databricks jobs for performance and scalability to handle big data workloads. * Monitor ...

Manulife

Data Engineer

Waterloo, ON

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance ... Ability to learn and implement best practices of big data and cloud computing to ensure solutions ...

Manulife

Data Engineer

Toronto, ON · On-site

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance ... Ability to learn and implement best practices of big data and cloud computing to ensure solutions ...

Manulife

Data Engineer

Toronto, ON

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance ... Ability to learn and implement best practices of big data and cloud computing to ensure solutions ...

Manulife

Data Engineer

Waterloo, ON · On-site

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance ... Ability to learn and implement best practices of big data and cloud computing to ensure solutions ...

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Big Data Engineer information

See Ontario salary details

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How much do big data engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for big data engineer in Ontario is $62.68, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.39 per hour, depending on experience, location, and employer.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and manages systems that process and store large volumes of data. They develop data pipelines, integrate data from various sources, and ensure that the infrastructure is scalable, reliable, and efficient. Their work enables organizations to analyze and derive insights from massive datasets, supporting decision-making and business intelligence. Big Data Engineers often work with technologies like Hadoop, Spark, and cloud platforms.

What are the key skills and qualifications needed to thrive as a Big Data Engineer?

To thrive as a Big Data Engineer, you need strong programming skills (often in Python, Java, or Scala), experience with data modeling, and a solid understanding of distributed computing and database systems, typically supported by a degree in computer science or a related field. Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, and relevant cloud services, as well as certifications such as Cloudera or AWS Big Data, is also important. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help bridge technical solutions with business needs. These skills are crucial for designing scalable data pipelines, ensuring efficient data processing, and delivering actionable insights that drive organizational success.

What are some common challenges Big Data Engineers face when working with large-scale data pipelines?

Big Data Engineers often encounter challenges related to optimizing data pipelines for scalability and reliability, especially as data volume and velocity increase. Issues like managing data consistency, handling schema changes, and ensuring low-latency data processing are frequent hurdles. Collaborating closely with data scientists and DevOps teams is crucial, as projects often require integrating diverse data sources and maintaining high data quality standards. Staying up-to-date with evolving big data technologies and best practices is essential to address these ongoing challenges effectively.
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For Big Data Engineer jobs in Ontario, the most frequently searched job titles are:

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Big Data Engineer jobs near you
Infographic showing various Big Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,384 per year, or $62.7 per hour.

Big Data Engineer

Centraprise

Toronto, ON

Full-time

Posted 8 days ago

Job description

Job Title : Big Data Engineer

Employment Type : T4 - Contract

Location: Toronto, ON (Onsite)


Job Description :


Skills – Well versed with Data , ETL Processes, SQL and high-level programming languages such Scala, Java, DevSecOps


Detailed Job Description:


What will you do?


· Work within an Agile cross functional team to design, develop and maintain data ingestion flows and evolve the platform to orchestrate them.

· Design and implement data pipelines, framework and ETL processes.

· Ensure data quality, security, and performance.

· Develop and optimize SQL queries, stored procedures, and views.

· Integrate Snowflake with other data sources and BI tools.

· Monitor and troubleshoot data jobs and platform issues.

· Develop and maintain comprehensive documentation for data pipelines, transformations, and data models.


What do you need to succeed?


· 8+ years of Experience with Big Data technologies used for ETL: Hadoop, Spark, Hive

· Well versed with Snowflake Platform.

· Strong SQL skills and knowledge of data modeling.

· Programming Experience with Scala or Java an API Development.

· Experience with ETL tools (e.g., Informatica, Talend, Apache Airflow).

· Familiarity with any of the cloud platforms (Preferably AWS).

· Knowledge on Gen AI to generate code and improve developer proficiency

· Knowledge of Python or other scripting languages is a plus.

· Excellent problem-solving and communication skills.

· Knowledge of SCM, Infrastructure-as-code, and CI/CD pipelines.


Nice to Have

· Experience with workflow management tools like: Apache Airflow

· Experience with Continuous Integration tools – Git Actions, GitHub, Automated Testing tools, Git, or similar tools.

· Experience with Docker/Kubernetes/Containers/OCP4

· Shell Scripting

Bachelor’s or master’s degree in computer science, Data Engineering and, or a related field.

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