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Role: Data Engineer Location: Fully Remote - EST Time Zone - In Canada Comp: Salary + Bonus + Health Benefits    Why Veem?.Veem is transforming how businesses move money globally.Traditio...Show more
Knoll uses modern design to connect people to their work, their lives, their world.Since 1938, we have been recognized internationally for creating workplace and residential furnishings that inspir...Show more
Job Title: DevOps Engineer – Toronto (Hybrid, 4 Days Onsite).We are seeking a highly skilled.The ideal candidate will have hands-on experience in automation, containerization, Kubernetes platforms,...Show more
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Location: Toronto, ON (Hybrid).Strong expertise in database mapping, data curation, data profiling, and data lineage.Hands-on experience in writing queries on both SQL Server and Oracle.Good hands-...Show more
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LAPORTE is a consulting engineering firm specializing in pharmaceutical, agrifood, industrial biotech and industrial plant processes, which has been in business for 25 years.Today, the company has ...Show more
Are You Ready to Make It Happen at Mondelēz International?.Join our Mission to Lead the Future of Snacking.You work as part of a cross-functional team to lead and deliver the activities required to...Show more
Target Variable Performance Pa.The salary range shown above reflects the expected compensation for this position.The final salary offered will be determined based on a holistic assessment of the ca...Show more
At Alstom, we understand transport networks and what moves people.From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility...Show more
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We are seeking a talented Data Engineer to join our rapidly expanding Centralized Data Hub.This is a strategic initiative transforming how our organization manages and leverages data at scale.As a ...Show more
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We areseekinga highly skilled hybrid GenAI and machine learning engineer to design, test, and deploy Generative AI (GenAI), Large Language Model (LLM)-powered capabilities and machine learning solu...Show more
We are seeking a highly skilled Data Engineer for a permanent role to lead the design and implementation of robust data pipelines and advanced analytics models.In this position, you will be the bac...Show more
Headquartered in San Francisco, our investors include.Configure development environments to support open-source projects in.Resolve dependency issues across various codebases to ensure seamless int...Show more
Role: Data Engineer Location: Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus + Health Benefits About Veem Veem is transforming global money movement.
Traditional cross-border payments are slow, expensive, and opaque—we’ve built a platform that makes them seamless, transparent, and scalable.
Our solution combines global payments, FX optimization, and embedded financial tools to help businesses—from SMBs to large platforms—operate and grow internationally with confidence.
We take a partner-first approach, working closely with customers to unlock revenue opportunities and drive real business impact.
Why Join Veem Impact: Help businesses move billions globally, more efficiently Growth: Be part of a fast-scaling fintech and embedded finance space Ownership: Contribute meaningfully and see results quickly Collaboration: Work cross-functionally across Product, Sales, and Ops Innovation: Shape the future of B2B payments Role Overview We’re hiring a Data Engineer to support a high-impact, lean data team by addressing a current capacity bottleneck.
This is a maintenance and optimization-focused role .
The core infrastructure is already built—you’ll focus on improving performance, reliability, and ongoing data operations rather than building from scratch.
Ideal for someone who enjoys backend data work, is detail-oriented, and can quickly take ownership with minimal guidance.
What Makes This Role Stand Out Work closely with an experienced Data Engineer Own systems that directly impact business operations Remote-friendly within a tight-knit team Key Responsibilities Maintain and optimize data pipelines and infrastructure (Snowflake) Troubleshoot pipeline and reporting issues Build and update reports (e.g., compliance, partner billing) in Looker Write and optimize SQL queries and Python scripts Create and maintain data views based on internal needs Ensure data accuracy, reliability, and performance Partner closely with the existing Data Engineer Tech Stack Data Warehouse: Snowflake BI/Reporting: Looker Languages: SQL, Python Team Structure Small, collaborative data team (~4 people) Individual contributor role reporting within the data function Ideal Candidate 1–4 years of experience in data engineering or similar role Strong SQL and Python skills Hands-on experience with Snowflake and Looker Comfortable in a maintenance-focused environment Able to ramp quickly and work independently Detail-oriented with strong problem-solving skills Context Existing system is stable and in production Primary need is backlog support (e.g., partner billing delays) Opportunity to grow into greater ownership over time Powered by JazzHR
