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Big Query Jobs in Ontario (NOW HIRING)

Senior OTC Analyst

Toronto, ON · Remote

CA$70K - CA$80K/yr

Familiarity with Big Query is plus * Validated experience in testing methodology * Experience with Oracle, SAP, and billing software (High Radius, etc.) strongly preferred. * Sound understanding of ...

Senior OTC Analyst

Toronto, ON · Remote

CA$70K - CA$80K/yr

Familiarity with Big Query is plus * Validated experience in testing methodology * Experience with Oracle, SAP, and billing software (High Radius, etc.) strongly preferred. * Sound understanding of ...

Applied Researcher 1

Toronto, ON · On-site

CA$118K - CA$157K/yr

The Query Science team sits at the core of eBay's Search product and is a key driver of search ... big data processing technologies (such as Hadoop, SQL, or Spark) is preferred. * Excellent ...

Applied Researcher 2

Toronto, ON · On-site

CA$142K - CA$190K/yr

The Search Query Understanding team is the largest contributor to eBay's search and query ... big data, and by mentoring and collaborating with colleagues across disciplines. What you will ...

... big and complex data sets in generating actionable reports and insights for our customers, optimizing query performance and cost, and using cutting-edge front-end technologies to create an incredible ...

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Showing results 1-20

Big Query information

See Ontario salary details

$12

$56

$81

How much do big query jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for big query in Ontario is $56.60, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $64.90 per hour, depending on experience, location, and employer.

What are typical daily responsibilities for someone in a BigQuery Engineer position?

A BigQuery Engineer typically focuses on designing, developing, and maintaining cloud-based data warehouses, ensuring that data pipelines are efficient and reliable. Daily tasks often include writing and optimizing SQL queries, managing ETL (Extract, Transform, Load) processes, and collaborating with data analysts and stakeholders to deliver data solutions. The role also involves troubleshooting performance issues, maintaining data quality, and implementing best practices for security and cost optimization. Teamwork and regular communication with both technical and non-technical colleagues are key to ensuring data solutions align with business goals.

What is a BigQuery job?

A BigQuery job is a unit of work that BigQuery executes on your behalf, such as running a query, loading data, exporting data, or copying a table. Jobs are asynchronous and can be monitored for completion using job IDs. Each job runs in the context of a specific project and may consume processing resources based on the complexity of the task.

What are the key skills and qualifications needed to thrive in the Big Query position, and why are they important?

To excel in a BigQuery Engineer role, you need a strong background in SQL, data modeling, and cloud-based data warehousing, often supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), especially BigQuery, along with certifications like Professional Data Engineer, is highly valuable. Attention to detail, problem-solving ability, and effective communication are important soft skills for this position. These competencies enable efficient handling of large datasets, ensure data accuracy, and foster smooth collaboration with analytics and engineering teams.

What are popular job titles related to Big Query jobs in Ontario? For Big Query jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Big Query jobs in Ontario look for? The top searched job categories for Big Query jobs in Ontario are:
Infographic showing various Big Query job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $117,721 per year, or $56.6 per hour.
Ab Initio Developer (Big Data & Hadoop)

Ab Initio Developer (Big Data & Hadoop)

United Airlines

Toronto, ON

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 337 frontline employees who took The Breakroom Quiz

9th of 26 rated airlines


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Location : Toronto, CA (Onsite/Hybrid from Day 1)
Job Description

We are seeking a highly skilled Ab Initio Developer (Big Data & Hadoop) to join our Agile Scrum team and support the development of enterprise-scale Big Data and Data Lake solutions. This role will be responsible for designing, developing, and supporting data integration applications leveraging Ab Initio, Hadoop, and modern Big Data technologies. The ideal candidate will combine strong technical expertise with the ability to collaborate across business and technology teams to deliver high-quality data solutions.

Key Responsibilities
  • Participate in Agile/Scrum ceremonies, sprint planning, design discussions, and development activities.
  • Analyze business requirements and translate them into functional and technical specifications.
  • Design, develop, test, and support scalable data integration and ETL solutions using Ab Initio.
  • Build and maintain enterprise data pipelines supporting the organization's Data Lake and analytics platforms.
  • Ensure application quality, performance, scalability, and adherence to development standards.
  • Collaborate with architects, data engineers, business analysts, and stakeholders to deliver data-driven solutions.
  • Create project estimates and contribute to project planning and delivery discussions.
  • Participate in code reviews and promote development best practices.
  • Develop reusable and modular components to improve development efficiency and maintainability.
  • Troubleshoot production issues and perform performance tuning of ETL and Big Data applications.
  • Mentor junior developers and provide technical guidance to team members.
  • Support continuous improvement initiatives and adoption of emerging technologies.
Mandatory Skills
  • Bachelor's degree in Computer Science, Engineering, Statistics, Econometrics, Information Systems, or a related quantitative field.
  • 10+ years of overall IT experience with at least 5+ years of hands-on experience in Big Data and Data Integration solutions.
  • Expert knowledge of Ab Initio technologies, including Graphical Development Environment (GDE), Co-Operating System, Control Center, Metadata Hub, Enterprise Meta Environment (EME), EME Portal, Acquire>It, Express>It, Conduct>It, Data Quality Environment, and Query>It.
  • Strong experience in designing, developing, and supporting complex ETL and enterprise data integration solutions.
  • Hands-on experience with shell scripting, complex SQL development, Hadoop commands, and Git version control.
  • Strong programming skills in at least two of the following languages: Python, Java, and Scala.
  • Proven experience developing reusable, scalable, and maintainable code components.
  • Experience working with Hadoop ecosystem technologies such as Hive, Spark, Kafka, HBase, and Sqoop.
  • Strong understanding of Big Data architectures, Data Lake technologies, and large-scale data processing frameworks.
  • Experience in performance tuning, optimization, and troubleshooting of ETL and Big Data applications.
  • Familiarity with Hortonworks, ZooKeeper, Oozie, and NoSQL technologies is preferred.
Good to Have
  • Hands-on experience with Big Data technologies including:
  • Hadoop, Hive, Spark, Kafka, HBase and Sqoop etc
  • Experience working with Data Lake architectures and large-scale analytics platforms.
  • Knowledge of Hortonworks, ZooKeeper, Oozie, and NoSQL databases.
  • Experience with data modeling, data quality, and performance optimization.
  • Familiarity with cloud-based data platforms and modern data engineering practices.
  • Understanding of CI/CD processes and DevOps methodologies.

The base compensation range for this role in the posted location is: 88786- 95298

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


What United Airlines employees say

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Benefits

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Get the full story on Breakroom


United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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