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Need Junior Dataplatform Engineer

  • Peel, Ontario, Canada
  • Remote
  • Posted Nov 11, 2026
  • 1 position

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Employment type
Full-time
Minimum education
Bachelor’s degree
Posting language
English

Job summary

Support the design, implementation, and maintenance of data platforms, including building data pipelines, configuring databases and warehouses, and monitoring data workflows. Assist with data integration, troubleshooting, documentation, and collaboration with senior engineers and cross-functional teams to improve reliable, secure, and scalable data systems.

Job details

Company Description Rockland Tech Hub is a technology solutions provider that supports startups, growing businesses, and enterprises in modernizing their systems and building secure, scalable digital platforms. The company delivers services including intelligent automation, custom software development, web and mobile applications, e-commerce solutions, software testing, branding support, and IT staffing. Teams at Rockland Tech Hub combine strong technical expertise with practical business insight to create solutions that improve efficiency and performance. The organization focuses on dependable, future-ready technology aligned with client goals, from workflow automation to quality assurance and responsive digital experiences. More information is available at https://rocklandtechhub.com/, and interested applicants may contact hr@rocklandtechhub.com. Role Description The Junior Dataplatform Engineer is a full-time, remote role responsible for supporting the design, implementation, and maintenance of data platforms that power Rockland Tech Hub’s digital solutions. In this role, you will assist in building and managing data pipelines, contributing to database and data warehouse configuration, and monitoring data workflows for reliability and performance. You will help implement data integration solutions, support troubleshooting and incident resolution, and collaborate with senior engineers to improve data architecture and infrastructure. Day-to-day activities include working with cloud-based and on-premises data tools, documenting processes, participating in code reviews, and coordinating with product and development teams to ensure data solutions meet business requirements. You will also be expected to follow best practices for security, data quality, and scalability, while continuously learning and adapting to new technologies. Qualifications Foundational skills in databases and data platforms, such as SQL, basic data modeling, and experience with at least one relational database (e.g., PostgreSQL, MySQL, SQL Server). Exposure to data engineering concepts including ETL/ELT processes, data pipelines, and working with structured and semi-structured data. Basic familiarity with cloud services (e.g., AWS, Azure, or Google Cloud) and their data-related offerings, such as managed databases or data warehouses. Programming skills in at least one language commonly used for data engineering (e.g., Python, Java, or Scala) and the ability to write clean, maintainable code. Understanding of data quality, security, and governance principles, with an interest in learning best practices for reliable and compliant data systems. Strong analytical and problem-solving abilities, with attention to detail and the capacity to troubleshoot issues in data workflows. Effective communication and collaboration skills, with the ability to work in remote, cross-functional teams and follow clear documentation standards. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.

What you’ll do

Support the design, implementation, and maintenance of data platforms, including building data pipelines, configuring databases and warehouses, and monitoring data workflows. Assist with data integration, troubleshooting, documentation, and collaboration with senior engineers and cross-functional teams to improve reliable, secure, and scalable data systems.

Requirements

Requires foundational database and data platform skills, exposure to ETL/ELT and data pipelines, basic familiarity with cloud data services, and programming ability in Python, Java, Scala, or a similar language. Applicants should have strong analytical, communication, and collaboration skills, an understanding of data quality and security, and a bachelor’s degree in a related field or equivalent practical experience.

Listed skills

  • SQL · Preferred
  • Python · Preferred
  • Java · Preferred
  • Troubleshooting · Preferred
  • Documentation · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • SQL
  • Data Modeling
  • Relational Databases
  • ETL/ELT
  • Data Pipelines
  • Cloud Services
  • Python
  • Java
  • Scala
  • Data Quality
  • Data Security
  • Data Governance
  • Troubleshooting
  • Analytical Problem-Solving
  • Documentation
  • Data Integration

Job areas

  • Technology
  • Data & Analytics
  • Software
  • Engineering

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