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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 ...

New

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 ...

Cogency

Big Data Developer

Toronto, ON · Hybrid

... Engineer with strong expertise in Spark, Snowflake, AWS, Airflow, Big Data technologies, and ETL . The successful candidate will design, develop, and optimize scalable data pipelines and ETL ...

New

Galent

SQL * Unix/Shell Scripting Role Overview We are looking for a Senior Backend Developer with 5+ years of experience in big data engineering, API integration, and AI-assisted development. The ideal ...

New

TechBlocks

Data Engineer

Vaughan, ON

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

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 ...

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 ...

Galent

... Big Data technologies and Java • Strong programming and analytical skills • Proficient in SQL and database management • Experience with CI/CD tools • Oracle Certified Professional (OCP ...

Rackspace Technology

Overview As a Big Data Architect, you are passionate about data and technology solutions, are ... Collaborate with enterprise architects, data architects, ETL developers & engineers, data ...

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.

Pelmorex

Data Engineer, DMP

Oakville, ON · Hybrid

Live and breathe Big Data: Work extensively with analytics systems such as BigQuery, Google Cloud Dataflow, Apache Spark, and Apache Airflow. * Manage Infrastructure: Utilize hybrid cloud-based ...

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 ...

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How much do big data engineer jobs pay per hour?

As of Aug 30, 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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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

Toronto, ON

Centraprise
IT Services • 51 - 200 employees
Learn more about Centrapriseexternal

Full-time

Posted yesterday

New

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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