columbus data scientist & ai engineer Jobs – 4 Openings This Week

25-167 Senior Data Engineer (Azure Data Factory / Databricks) - 12 month contract - Oshawa - hybrid remote
CorGTA —Oshawa, ON
- $85–$95 an hour
- Contract
- Hybrid work
- Azure
- Computer Science
- DevOps
2d
Machine Learning Engineer (Energy) - MLEEAS
NavitasPartners —Oshawa, ON
- From $30 an hour
- Machine learning
- Python
- Analytics
Quick apply
22h
ML Engineer (BFSI) - MLEBAS
NavitasPartners —Oshawa, ON
- From $30 an hour
- Computer Science
- Master's degree
- SQL
Quick apply
22h

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Machine Learning Engineer (Energy) - MLEEAS
NavitasPartners —Oshawa, ON
The ML Engineer will develop and deploy machine learning models supporting predictive maintenance, energy demand forecasting, asset optimization, and renewable…
From $30 an hour
Quick apply
22h

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Lead Scientist - Applied ML
Canadian Tire Corporation, Ltd. —Toronto, ON
With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising…
$79,000–$131,000 a year
Quick apply
Principal Data Engineer
Tangerine Bank —Toronto, ON
Participates in the design and implementation of the Tangerine data engineering strategy and platform, advising senior leadership and executing on the vision…
4d

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25-167 Senior Data Engineer (Azure Data Factory / Databricks) - 12 month contract - Oshawa - hybrid remote

CorGTA -
Oshawa, ON

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Job details

Contract | Fixed term contract
$85–$95 an hour
2 days ago

Qualifications

Power BI
Data modeling
Azure
Computer Science
Software Engineering
DevOps
Engineering
Spark
SQL
Bachelor's
Agile
Metadata
Communication skills
Python

Full job description

Position: Senior Data Engineer (Azure Data Factory / Databricks)
Location: Oshawa, ON (Hybrid 3 days remote)
Structure: Contract 24 months to start
Pay: $85.00 - $95.00 p/h inc.

We have a great new opportunity to support one of our Energy Sector clients in a contract capacity!

Please see below for more information on the position and if interested, apply with an updated resume aligned to the needs of the role.

—

Deliverables

Design, build, and support scalable ETL/ELT data pipelines, data lakehouse, and data warehouse solutions that provide trusted, business-ready data for analytics, reporting, and digital applications.
Develop and optimize data ingestion, transformation, orchestration, and automation frameworks using Python, Spark, SQL, and Azure data services while ensuring data quality, lineage, security, and performance.
Collaborate with architects, analysts, data scientists, and business stakeholders to deliver enterprise data products, support reporting initiatives, and maintain data governance standards.
Provide production support, monitoring, testing, documentation, CI/CD integration, and continuous improvement of data platforms and pipelines within an Agile delivery environment.

Experience Required

5+ years of experience as a Data Engineer building and supporting enterprise-scale data pipelines, data warehouses, and data lakehouse solutions.
Strong hands-on expertise with Python, PySpark, SparkSQL, and SQL for large-scale data processing, transformation, and pipeline development.
Experience with Microsoft Azure data technologies including Azure Data Factory, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure Databricks, and Power BI.
Solid understanding of data modeling, data governance, metadata management, data quality, security, CI/CD, DevOps practices, and role-based access controls.
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, Machine Learning, or a related discipline, with strong communication and stakeholder engagement skills.

CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or its client partners may utilize AI tools to assist with the hiring processes.

By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service: www.corgta.com/privacy-policy

For more roles like this, please go to www.corgta.com/find-a-job/

Apply Now

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data scientist & ai engineer jobs in columbus

25-167 Senior Data Engineer (Azure Data Factory / Databricks) - 12 month contract - Oshawa - hybrid remote

Machine Learning Engineer (Energy) - MLEEAS

ML Engineer (BFSI) - MLEBAS

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