How much do big data engineer jobs pay per hour?

As of Aug 29, 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.

$53-$80/hr Big Data Engineer Jobs in Ontario (NOW HIRING)

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 ...

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

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 ...

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 ...

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 ...