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Mississauga, ON, CA
Actively hiring, first seen by us 1 day agoInternal Applicants: please apply through the link and provide written endorsement from your current manager. 88,00.00 – $104,500.00 CAD (includes base salary and bonus) We’re committed to attracting and rewarding top talent. Our compensation ranges are thoughtfully designed to reflect market competitiveness, internal equity, and the experience and impact each candidate brings to the role.Read the full posting
Monitor and troubleshoot data pipelines, batch jobs and integrations
Investigate and resolve production incidents and data quality issues
Support and enhance SSIS packages and move workloads to Azure Data Factory and Databricks
Onboard new data sources and integrations from apps, databases, APIs and files
Deliver ad-hoc data and reporting requests with BI and business teams
Monitor and troubleshoot data pipelines, workflows, integrations, and batch processing activities
Investigate and resolve production incidents, job failures, data quality issues
Support, maintain, and enhance existing SSIS packages and ETL processes while contributing to the modernization of data integration workloads using Azure Data Factory and Databricks
Onboard new data sources and integrations from enterprise applications, databases, APIs, vendor platforms, and file-based interfaces
Analyze and deliver ad-hoc data requests such as small enhancements and reporting requirements
What experience do you have? - Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience. - 2-4 years of experience supporting and developing enterprise data solutions, including data warehouses, operational data stores, data integration platforms, and cloud-based data environments.
From the employer’s posting.
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 1
Early. Similar jobs usually come down between day 7 and day 53.
From 575 similar postings that came down. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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If you're seeking an exciting, high-growth environment where your contributions truly matter, we want to hear from you! Join us, and together, let's create a future of financial empowerment. The Data Operations Engineer is responsible for supporting, maintaining, and continuously improving goeasy's enterprise data platform. This role focuses on ensuring the reliability, performance, and operational health of production data services across Azure Databricks, Azure Data Factory (ADF), SQL Server, Enterprise Data Warehouse (EDW), and Managed File Transfer (SFTP) platforms. Working under the guidance of the Data Operations Team Lead, the successful candidate will support business-critical data workloads, troubleshoot production issues, onboard new data sources, deliver data and reporting requests, and contribute to the ongoing evolution of the organization's data ecosystem.
What will you be doing? - Support and maintain production data workloads across Azure Databricks, Azure Data Factory, Azure Data Lake Storage, SQL Server, Enterprise Data Warehouse, and Managed File Transfer platforms. - Support, maintain, and enhance existing SSIS packages and ETL processes while contributing to the modernization of data integration workloads using Azure Data Factory and Databricks.
- Support the ongoing evolution and optimization of the Enterprise Data Warehouse and enterprise reporting platforms. - Perform SQL development, troubleshooting, and operational support activities across enterprise SQL Server environments. - Participate in root cause analysis and continuous improvement initiatives to reduce recurring operational issues.
- 2-4 years of experience supporting and developing enterprise data solutions, including data warehouses, operational data stores, data integration platforms, and cloud-based data environments. - Hands-on experience with Azure Databricks and strong SQL development skills, including building and supporting solutions on Microsoft SQL Server. - Experience working with ETL/ELT processes, data warehousing concepts, data quality practices, and enterprise data integration frameworks.
- Proven ability to troubleshoot and resolve production incidents, batch processing failures, and complex data integration issues. - Experience working with cloud platforms such as Microsoft Azure or AWS, along with source control and deployment tools including Azure DevOps, Git, or similar technologies. - Strong analytical, problem-solving, and troubleshooting abilities, with the ability to effectively communicate and collaborate with both technical and business stakeholders.
- Familiarity with Generative AI tools such as GitHub Copilot, Claude Code, Databricks AI capabilities, or similar technologies. - Relevant professional certifications (Azure, AWS, Databricks, or related technologies) are considered an asset. We offer a Flexible Work Program that provides you the ability to work three days onsite per week, from our Mississauga office.
- Support and maintain production data workloads across Azure Databricks, Azure Data Factory, Azure Data Lake Storage, SQL Server, Enterprise Data Warehouse, and Managed File Transfer platforms. - Support, maintain, and enhance existing SSIS packages and ETL processes while contributing to the modernization of data integration workloads using Azure Data Factory and Databricks. - Monitor and troubleshoot data pipelines, workflows, integrations, and batch processing activities to ensure reliable and timely delivery of data.
- Experience supporting data warehouse modernization, cloud migration, or data platform transformation initiatives within regulated or complex enterprise environments. - Familiarity with Generative AI tools such as GitHub Copilot, Claude Code, Databricks AI capabilities, or similar technologies. - Relevant professional certifications (Azure, AWS, Databricks, or related technologies) are considered an asset.
Complete your application on goeasy.talentnest.com. The employer’s form will show what is required.
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New Data Operations postings at the employers we follow are up 214% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Operations, by the work the posting describes.
Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.
Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.
Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.
Join one of Canada’s fastest-growing companies and be part of something extraordinary – welcome to goeasy! At goeasy, our people and culture are at the heart of everything we do, and we’re proud to be recognized for it. We’ve earned prestigious accolades such as Waterstone Canada’s Most Admired Corporate Cultures, Canada’s Top Growing Companies, and the TSX30, highlighting us as one of the top performers on the TSX. We’re also honoured to be named a Greater Toronto Top Employer and recognized by Great Place to Work® as having the Best Workplaces for Women & Most Trusted Executive Teams, and included on TIME Magazine’s 2025 list of Canada’s Best Companies. These honours reflect our commitment to fostering an inclusive, high-performance culture where talent thrives and innovation drives us forward.
As one of Canada’s leading alternative consumer lenders, we’re passionate about helping everyday Canadians create a brighter future. Our vision is to provide a path to a better tomorrow, today. We offer a full range of products, including non-prime leasing, unsecured and secured loans, and point-of-sale financing through easyhome, easyfinancial, and LendCare.
If you're seeking an exciting, high-growth environment where your contributions truly matter, we want to hear from you! Join us, and together, let's create a future of financial empowerment.
The Data Operations Engineer is responsible for supporting, maintaining, and continuously improving goeasy's enterprise data platform. This role focuses on ensuring the reliability, performance, and operational health of production data services across Azure Databricks, Azure Data Factory (ADF), SQL Server, Enterprise Data Warehouse (EDW), and Managed File Transfer (SFTP) platforms.
Working under the guidance of the Data Operations Team Lead, the successful candidate will support business-critical data workloads, troubleshoot production issues, onboard new data sources, deliver data and reporting requests, and contribute to the ongoing evolution of the organization's data ecosystem.
What will you be doing?
What experience do you have?
We offer a Flexible Work Program that provides you the ability to work three days onsite per week, from our Mississauga office.
Internal Applicants: please apply through the link and provide written endorsement from your current manager.
88,00.00 – $104,500.00 CAD (includes base salary and bonus)
We’re committed to attracting and rewarding top talent. Our compensation ranges are thoughtfully designed to reflect market competitiveness, internal equity, and the experience and impact each candidate brings to the role.
At goeasy, we believe transparency fosters trust — and that rewarding performance with fair, competitive pay and meaningful growth opportunities is key to our success.
Should your total compensation expectations fall above the posted range, we still encourage you to apply. If selected for an interview, you’ll have the opportunity to discuss this with our recruitment team, as there may be flexibility based on your background and overall fit. Total compensation includes base salary and bonus.
This posting is for an existing vacancy within our team.
Why should you work for goeasy?
In keeping with our mission to create better tomorrows for our employees, each year goeasy commits to continuously enhancing its total rewards. Here are some of the perks we offer:
Financial Benefits:
Health and Lifestyle:
Employee Perks:
Diversity, Inclusion, and Equal Opportunity Employment:
At goeasy, we believe that we can only be the best when people are able to bring their best selves to work every day. goeasy is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. As an equal opportunity employer, we are committed to providing accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process. Please let the talent acquisition team know if you require an accommodation during any aspect of the recruitment process and we will work with you to address your needs.
Additional Information:
All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire. We thank all interested applicants; however, we will only be contacting those for interview who possess the skills and qualifications outlined above.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Internal Applicants: please apply through the link and provide written endorsement from your current manager. 88,00.00 – $104,500.00 CAD (includes base salary and bonus) We’re committed to attracting and rewarding top talent. Our compensation ranges are thoughtfully designed to reflect market competitiveness, internal equity, and the experience and impact each candidate brings to the role.
Mississauga, ON, CA
- Personalize your benefits with a flexible modular benefits package. - Stay fit and energized with exclusive access to our on-site private gym at our head office. Employee Perks:
No clear work-authorization passage found. Eligibility is unconfirmed.