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Batch Engineer Jobs in Whitby, ON (NOW HIRING)

Nasdaq

Data Engineering Specialist

Toronto, ON · Hybrid

CA$84K - CA$115K/yr

Write and manage distributed data pipelines supporting both real-time and batch processing across ... Data engineering certification (e.g., Databricks Certified Data Engineering Associate or ...

The App Labb

Data Engineer

Toronto, ON

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing ... Work with APIs, streaming data, and batch processing to consolidate data from multiple sources.

TheAppLabb

Data Engineer

Toronto, ON · On-site

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing ... Work with APIs, streaming data, and batch processing to consolidate data from multiple sources. · ...

BMO Capital Markets

Lead Data Engineer

Toronto, ON

CA$75K - CA$141K/yr

Experience with large-scale batch data processing and data warehousing Engineering & Delivery * Strong experience with data pipeline orchestration and scheduling * CI/CD knowledge (Ansible ...

Scotiabank

Data Engineer

Toronto, ON

Develop and enhance ETL/ELT workflows using Airflow and ETL tools such as Talend, Spring Batch, or ... Strong programming skills in Python, with experience in Java or Scala considered an asset.

CIBC

Application Developer

Toronto, ON · Hybrid

As the Application developer, you will be responsible for supporting and enhancing PeopleSoft ... Support batch processing jobs, monitor performance, and resolve issues. * Participate in ...

Td

Senior IT Developer

Toronto, ON · On-site

CA$102K - CA$125K/yr

Spring Batch * JPA/Hibernate * RESTful API development Strong understanding of Object-Oriented ... Data modeling and database design DevOps & Cloud * GitHub / Bitbucket * Kubernetes/OpenShift

CIBC US

Application Developer

Toronto, ON · Hybrid

As the Application developer, you will be responsible for supporting and enhancing PeopleSoft ... Support batch processing jobs, monitor performance, and resolve issues. * Participate in ...

Flinks

Senior Data Engineer

Toronto, ON · Remote

Developing cost-efficient, high-performance data services and infrastructure that support real-time and batch workloads. Partnering closely with Data Science, Product, and Engineering teams to enable ...

Td

Software Engineer II

Toronto, ON · On-site

CA$81K - CA$115K/yr

EXPERIENCE AND / OR EDUCATION * 5+ years of software engineering experience * fullstack engineering experience (Angular, Java APIs/microservices, event streaming, batch processing, cloud platforms)

NimbleRx

Senior Data Engineer

Toronto, ON · On-site

As a Senior Data Engineer , you will own Nimble's data platform - the layer that every other team ... Build and evolve batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda, and Step Functions ...

CIBC US

Senior PeopleSoft Developer

Toronto, ON · Hybrid

Oversee batch processing operations , optimize performance, and resolve critical issues. * Provide technical guidance and mentorship to junior developers. * Analyze business requirements , architect ...

Td

Data Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

The Data Engineer is part of the CPB Data Product Family Team within Data as a Service. This role ... Lead developing new solutions for batch and real-time data and analytics use cases * Ensure ETL ...

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Showing results 41-60

All JobsBatch Engineer JobsBatch Engineer Jobs in Whitby, ON

Batch Engineer information

What is a batch engineer?

Batch engineers are professionals who design, implement, and optimize batch processing systems in manufacturing environments, particularly in industries like pharmaceuticals, chemicals, and food production. They are responsible for developing processes that produce products in discrete quantities or 'batches,' ensuring quality, efficiency, and safety standards are met. Batch engineers often work with automation systems, troubleshoot process issues, and collaborate with cross-functional teams to improve production workflows.

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

To thrive as a Batch Engineer, you need a strong background in chemical or process engineering, with experience in batch processing operations and often a relevant engineering degree. Familiarity with Distributed Control Systems (DCS), batch automation software like DeltaV or Siemens PCS 7, and knowledge of industry standards such as ISA-88 are typically required. Strong problem-solving, attention to detail, and effective communication skills help in optimizing processes and collaborating with cross-functional teams. These skills and qualifications are crucial for ensuring efficient, safe, and compliant batch production in manufacturing environments.

What are some common challenges a batch engineer may face when managing large-scale batch processing systems?

Batch Engineers often encounter challenges such as optimizing job scheduling to maximize resource utilization while minimizing processing time. Handling job failures and troubleshooting data inconsistencies are also frequent issues, as large-scale systems can be sensitive to small errors. Additionally, they must ensure that batch jobs integrate smoothly with upstream and downstream systems, requiring strong communication with development, operations, and data teams. Staying updated with automation tools and best practices is crucial for efficiently managing these complex workflows.

What is the difference between Batch Engineer vs Process Engineer?

AspectBatch EngineerProcess Engineer
CredentialsBachelor's in Chemical, Mechanical, or Industrial EngineeringBachelor's in Chemical, Mechanical, or Industrial Engineering
Work EnvironmentManufacturing plants, chemical facilities, pharmaceutical productionManufacturing plants, chemical facilities, process optimization settings
Industry UsageFood, pharmaceuticals, chemicals, manufacturingChemical, petrochemical, manufacturing, process industries
Primary FocusDesign, operation, and optimization of batch production processesDesign and improvement of continuous or batch processes for efficiency

Both Batch Engineers and Process Engineers work in manufacturing and chemical industries, often sharing similar educational backgrounds. Batch Engineers focus on managing and optimizing batch production processes, while Process Engineers work on designing and improving overall manufacturing processes. Understanding these distinctions helps in choosing the right career path or job role.

What are popular job titles related to Batch Engineer jobs in Whitby, ON?

For Batch Engineer jobs in Whitby, ON, the most frequently searched job titles are:

What job categories do people searching Batch Engineer jobs in Whitby, ON look for?

The top searched job categories for Batch Engineer jobs in Whitby, ON are:

Batch Engineer jobs near you
Infographic showing various Batch Engineer job openings in Whitby, ON as of August 2026, with employment types broken down into 13% Internship, 62% Full Time, and 25% Contract. Highlights an 100% In-person job distribution.

Data Engineering Specialist

Nasdaq

Toronto, ON • Hybrid

CA$84K - CA$115K/yr

Full-time

Re-posted 3 hours ago

Job description

As a Data Engineering Specialist reporting to the Senior Director of Data Engineering, you'll play a critical role in designing, building, and scaling the data infrastructure that powers one of the world's largest data marketplaces - serving hundreds of thousands of professionals across finance, technology, and beyond.
You'll thrive in this position if you're analytical, detail-oriented, and passionate about data quality and engineering excellence in a fast-paced, high-impact environment.
Key Responsibilities
  • Design, implement, and maintain components of our data platform, with a strong focus on data onboarding and automation.
  • Build and optimize data ingestion pipelines that clean, transform, and load large volumes of structured and unstructured data.
  • Develop automated data processing, transformation, and quality assurance workflows to ensure completeness, accuracy, and reliability.
  • Write and manage distributed data pipelines supporting both real-time and batch processing across cloud environments.
  • Champion a collaborative code review culture that promotes maintainability, best practices, and continuous improvement.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • 6+ years of professional experience in software or data engineering.
  • Proficiency in Python (required), with working knowledge of SQL and Spark/PySpark.
  • Hands-on experience with cloud platforms and data tools, including distributed data pipeline development and orchestration.
  • Strong written and verbal communication skills in English, with the ability to document clearly and concisely.
Preferred Qualifications
  • Experience building and integrating AI tools into data engineering workflows.
  • Data engineering certification (e.g., Databricks Certified Data Engineering Associate or Professional).
  • Prior experience in fintech, capital markets, or a regulated data environment.

This position will be located in Toronto, Canada, and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

What We Offer

We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.

The base pay range for this role is $84,000 - $115,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

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