ZipRecruiter

Log In

2

Remote Teradata Jobs in Toronto, ON (NOW HIRING)

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses , statistical modeling work , machine learning ...

Mercor

Data Engineer - AI Model Evaluation

Toronto, ON · Remote

CA$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Mercor

Data Engineer - AI Model Evaluator

Toronto, ON · Remote

CA$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Tiny Health

Microbiome Data Scientist

Toronto, ON · Remote

Remote-first, real overlap Our FTEs are based in North America and work core hours from 9am-6pm CST, shiftable by up to two hours either way -- start at 7am or 11am, wrap at 4pm or 8pm. * Written ...

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning ...

Epistemix

Data Scientist

Toronto, ON · Remote

We are fully remote, with team members in the United States and Europe. Benefits include: * Equity & Incentives - Participation in our stock option program. * Flexible Time Off - Autonomy to manage ...

Mercor

Data Science Expert - AI Evaluation

Toronto, ON · Remote

CA$120 - CA$170/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts. * Score AI ...

next page

Showing results 1-20

All JobsTeradata JobsRemote Teradata JobsRemote Teradata Jobs in Toronto, ON

Remote Teradata information

What is a remote Teradata?

Remote Teradata jobs are positions that involve working with Teradata, a leading data warehousing and analytics platform, from a location outside the traditional office environment. These roles typically include responsibilities such as database administration, development, data analysis, and system maintenance, all performed remotely. Remote Teradata professionals use secure connections to access company systems, enabling them to manage large datasets, optimize queries, and support business intelligence initiatives from anywhere. This flexibility allows companies to hire talent from a broader geographic area while also giving employees a better work-life balance.

What skills and qualifications are needed to thrive as a remote Teradata professional?

To thrive as a Remote Teradata professional, you need a strong background in database management, SQL programming, and data warehousing concepts, often supported by a degree in computer science or a related field. Familiarity with Teradata tools, data integration platforms, and certifications such as Teradata Certified Professional are commonly required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for effective remote collaboration and troubleshooting. These skills ensure efficient data management, seamless teamwork, and the ability to deliver solutions in distributed work environments.

How do remote Teradata professionals typically collaborate with on-site teams and stakeholders?

Remote Teradata professionals often use a combination of video conferencing, instant messaging, and project management platforms to maintain close communication with on-site teams. They frequently participate in regular meetings to discuss project progress, troubleshoot issues, and align on database management strategies. Collaboration is essential, especially when working on large-scale data warehousing solutions, so remote professionals are expected to be proactive in providing updates and sharing insights. Clear documentation and consistent communication help bridge the gap between remote and on-site teams, ensuring seamless integration and efficient project delivery.

What is the difference between Remote Teradata vs Remote SQL Developer?

AspectRemote TeradataRemote SQL Developer
Required CredentialsTeradata certifications, SQL knowledgeSQL certifications, database knowledge
Work EnvironmentData warehousing, large-scale enterprise systemsApplication development, database management
Industry UsageData analytics, telecom, financeSoftware, finance, healthcare
Common Search/ComparisonYesYes

Remote Teradata professionals focus on managing and optimizing Teradata data warehouses, requiring specific Teradata certifications and experience with large-scale data systems. Remote SQL Developers work across various databases, including SQL Server, MySQL, and PostgreSQL, often with broader application development skills. While both roles involve SQL expertise, Remote Teradata roles are more specialized in data warehousing, whereas Remote SQL Developers have a wider scope in database and application development.

Is Remote Teradata a good place to work?

Remote Teradata roles typically involve working with data warehousing and analytics tools, requiring skills in SQL and Teradata systems. The work environment often offers flexibility and the opportunity to collaborate remotely, but job satisfaction depends on company culture and individual preferences. Researching specific employer reviews can provide more insight into the work experience.

What jobs can I do completely remotely as a Remote Teradata?

A Remote Teradata professional can typically work as a data analyst, data engineer, or database administrator, focusing on tasks such as data warehousing, query optimization, and database management using Teradata tools. These roles often require strong SQL skills, knowledge of data modeling, and the ability to work independently in a remote environment. Many companies offer these positions with flexible schedules and remote work policies.

What are popular job titles related to Remote Teradata jobs in Toronto, ON?

For Remote Teradata jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Teradata jobs in Toronto, ON look for?

The top searched job categories for Remote Teradata jobs in Toronto, ON are:

Remote Teradata jobs near you
Infographic showing various Remote Teradata job openings in Toronto, ON as of August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

Senior Data Engineer - Machine Learning & Data Platforms - REMOTE

Toronto, ON • Remote

Talent To Hire Inc.
See more jobs at Talent To Hire Inc.external

Full-time

Re-posted 7 days ago

Job description

Senior Data Engineer- Machine Learning & Data Platforms | Remote

Our client is building the next generation of industrial intelligence, transforming complex automotive and industrial data into real-time, actionable insights powered by machine learning. This is a FT remote position. You can work from Toronto, Ottawa or Montreal.

We are seeking an experienced Data Engineer who thrives in high-scale, production ML environments and enjoys working with complex, messy datasets to build reliable, scalable data foundations for advanced analytics.

You will join a team of 13 engineers and data professionals, working in a highly collaborative, fast-moving environment. The role is remote-friendly, with strong cross-functional interaction across engineering, data science, and business teams.

What You’ll Do

  • Design, build, and maintain scalable data pipelines and ETL processes for large structured and unstructured datasets

  • Develop and optimize Spark-based data workflows supporting production ML systems

  • Collaborate closely with data scientists, ML engineers, and business stakeholders

  • Translate complex business needs into scalable, production-grade data solutions

  • Build feature engineering pipelines for time-series and predictive models

  • Ensure data quality, governance, security, and reliability across systems

  • Continuously improve data architecture, performance, and scalability

What You Bring

  • Min. 6+ years in data engineering or ML data pipeline development

  • Strong experience with Apache Spark, PySpark, Databricks, Delta Lake

  • Advanced skills in Python, SQL, and Airflow

  • Deep understanding of Medallion architecture and ETL design patterns

  • Experience building time-series features (rolling windows, lags, trend indicators)

  • Ability to work closely with ML teams and translate data into model-ready structures

  • Bachelor’s or Master’s in Computer Science, Engineering, or related field

⭐ Preferred Experience - we will highly consider candidates with below skills;

  • Background in retail, e-commerce, or supply chain environments dealing with large, messy, high-volume datasets

  • Experience working directly with machine learning teams or supporting ML model development

  • Hands-on experience in forecasting, demand planning, or similar data-heavy business domains

  • Experience integrating data from ERP/CRM/WMS systems (SAP, Oracle, legacy platforms)

  • Exposure to feature stores or ML training/serving consistency frameworks

  • Experience with IBM DataStage or legacy ETL modernization projects

  • Experience scaling distributed ML or time-series models in production environments

Why This Role

This is a strong fit for someone who enjoys working in complex, real-world data environments, especially with messy, high-volume retail-style data and close collaboration with ML teams. Retail or similar domains are highly valued.

APPLY: sasha@talenttohire.com