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Remote Oracle Developer Intern Jobs in Toronto, ON

CIBC US

Consultant, Back End Developer

Toronto, ON · On-site +1

Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ... Strong knowledge of relational databases (e.g., Azure PostgreSQL, Azure SQL, Oracle) including ...

CIBC

Consultant, Back End Developer

Toronto, ON · On-site +1

Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ... Strong knowledge of relational databases (e.g., Azure PostgreSQL, Azure SQL, Oracle) including ...

CIBC US

Consultant, Full Stack Developer

Toronto, ON · On-site +1

Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ... JS, Oracle PL/SQL, Docker/containerization, OpenShift, and DevOps practices, including CI/CD ...

CIBC

Consultant, Full Stack Developer

Toronto, ON · On-site +1

Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ... JS, Oracle PL/SQL, Docker/containerization, OpenShift, and DevOps practices, including CI/CD ...

Scotiabank

Software Engineer

Toronto, ON · On-site +1

Postgres , MSSQL, Oracle DB, Apache NiFi, Apache Kafka, Apache ElasticSearch , comfortable working ... Remote-friendly work environment will provide you with the flexibility to perform at your best.

NexScale

Software Engineer

Toronto, ON · On-site +1

Toronto (Hybrid) or Remote within Canada Duration : 4-8 months (with potential extension up to 12 ... intern will have: * Shipped 1-2 production features used by real customers * Contributed ...

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Remote Oracle Developer Intern information

What are the key skills and qualifications needed to thrive as a Remote Oracle Developer Intern, and why are they important?

To thrive as a Remote Oracle Developer Intern, you need foundational knowledge of SQL, PL/SQL, database management, and a relevant academic background in computer science or a related field. Familiarity with Oracle Database tools, cloud platforms, and version control systems like Git is typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for remote collaboration and learning. These skills ensure you can contribute to database projects, adapt to remote workflows, and support business needs efficiently.

What does a Remote Oracle Developer Intern do?

A Remote Oracle Developer Intern assists in developing, testing, and maintaining applications using Oracle technologies such as Oracle Database, PL/SQL, and Oracle Application Express, while working from a remote location. They typically support senior developers with coding, debugging, and data management tasks, and may also help optimize database queries and troubleshoot issues. Interns in this role gain hands-on experience with Oracle tools and software development best practices, which prepares them for more advanced positions in database or application development.

What are some typical projects or tasks a Remote Oracle Developer Intern might work on during their internship?

As a Remote Oracle Developer Intern, you can expect to work on a variety of projects such as assisting with database design, writing and optimizing SQL queries, supporting data migration initiatives, and helping to troubleshoot database issues. You may also collaborate closely with senior developers and business analysts to deliver enhancements or new features for internal applications. Interns often participate in code reviews and team meetings, gaining exposure to agile development processes and real-world database management practices. This hands-on experience is invaluable for building technical skills and understanding how remote development teams operate.
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Remote Oracle Developer Intern jobs near you

Senior Data Engineer - Machine Learning & Data Platforms - REMOTE

Talent To Hire Inc.

Toronto, ON • Remote

CA$125K - CA$140K/yr

Full-time

Posted 20 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