Python Data Engineer

Experienced Data Engineer sought by a financial services firm in Toronto to design and build scalable applications using Python and PySpark, with expertise in Data Bricks and pipeline optimization.

Experienced Data Engineer needed to design and build scalable applications using Python and PySpark, focusing on Data bricks and pipeline optimization.

A leading financial services provider in Toronto is looking for an experienced Python/PySpark developer to design and deliver scalable applications. The ideal candidate will have strong data engineering skills, with proficiency in developing using Data bricks and optimizing data pipelines. This role offers flexible work arrangements and a competitive salary...

Seeking an experienced Data Engineer to design, implement, and maintain data pipelines and infrastructure, supporting cloud migration and data-driven insights in a wellness company.

Builds and scales cloud data pipelines for analytics, data science, and product teams, focusing on data modeling, quality, and performance in a collaborative, hybrid environment.

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and

Develop scalable data pipelines and products, working with cross-functional teams to integrate and transform data from various platforms.

Data Engineer needed to improve data pipelines and integrations for a Canadian data intelligence firm, requiring 8+ years experience in SQL, Java, and Python. Offers competitive salary, equity, and benefits.

Seeking a Data Engineer to improve data pipelines and integrations for a data intelligence company, collaborating with teams to deliver robust data analysis and insights.