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Remote Big Data Engineer Jobs in Toronto, ON (NOW HIRING)

Senior Manager, Data Engineering

Toronto, ON · On-site +1

CA$142K - CA$177K/yr

You will be based in our Toronto office, balancing in-office collaboration with remote flexibility. Reporting Relationship : You will report to the Director, Data Engineering Posting Type

Remote : Hybrid* We are seeking an experienced Analytics Engineer to help transform data into meaningful insights and scalable solutions that drive business decisions. This role is focused on ...

25-026 DevOps Engineer

Toronto, ON · Remote

CA$80 - CA$100/hr

MP4 Hourly Rate: $80 - 100/hour Duration: 10 Months Hours of work: 35 Location: 700 University Avenue, Toronto (100% Remote) Job Overview We are seeking a skilled DevOps Engineer to support our data ...

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... engineers, data analysts and solution architects to develop data pipelines to feed our data ...

LiDAR Data Analyst (Co-op)

Concord, ON · On-site +1

CA$46K - CA$61K/yr

Software Engineering * Electrical Engineering * Remote Sensing * Physics * Geography ... Geospatial data processing and analysis workflows. * LiDAR and imaging sensor technologies.

MP4, $80- $95/hr INC Duration: 12 Months Hours of work: 35 Location: (Hybrid - 1 day remote) Temp ... Data Engineering: Build and maintain ETL pipelines using Python to collect, transform, and ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Showing results 41-60

Remote Big Data Engineer information

What is a remote big data engineer?

A Remote Big Data Engineer designs, develops, and manages large-scale data processing systems while working from a remote location. They build data pipelines, optimize data storage, and ensure efficient data processing for analytics and machine learning applications. Their role involves working with technologies like Hadoop, Spark, and cloud platforms to handle massive datasets. Effective communication and collaboration with distributed teams are essential for success in this role.

What skills and qualifications are needed to be a remote big data engineer?

To thrive as a Remote Big Data Engineer, you need a strong background in computer science, data engineering, and programming languages such as Python, Java, or Scala, often supported by a relevant degree. Expertise in big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP), along with certifications like Google Professional Data Engineer or AWS Certified Big Data, is highly valuable. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills allow you to excel in distributed teams. These skills and qualities enable you to efficiently manage, analyze, and derive insights from massive datasets in a remote work environment.

What challenges do remote big data engineers face and how can they be managed?

Remote Big Data Engineers often navigate challenges such as collaborating across different time zones, ensuring secure and efficient data transfer, and maintaining clear communication with distributed teams. Staying up to date with rapidly evolving technologies and troubleshooting complex data pipeline issues without in-person support can also be demanding. Successful engineers manage these challenges by leveraging robust project management tools, fostering transparent communication, and participating in ongoing training or knowledge-sharing sessions. By proactively addressing these hurdles, they contribute to smoother project delivery and continuous team collaboration.

What are the most commonly searched types of Big Data Engineer jobs in Toronto, ON?

The most popular types of Big Data Engineer jobs in Toronto, ON are:

What job categories do people searching Remote Big Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Remote Big Data Engineer jobs in Toronto, ON are:

Infographic showing various Remote Big Data Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

25-138 ERP Program Data Migration Lead

Morson Talent

Pickering, ON • On-site, Remote

$80 - $105/hr

Full-time

Re-posted yesterday


Key responsibilities

  • Shape and deliver the data migration strategy for enterprise projects, including assessment, scope definition, and interdependency mapping.

  • Lead migration efforts across functional domains such as Finance, SCM, and EAM, utilizing data governance and integration tools for profiling, lineage, and quality.

  • Collaborate with technology teams, business data owners, and infrastructure teams to ensure secure, compliant, and efficient data movement, and develop dashboards to monitor migration progress.


Job description

Job Description Title: ERP Program Data Migration Lead Resume Due Date: Friday Jan 9th, 2025 (5:00PM EST) Number of Vacancies: 2 Level: MP6, Rate $90- $105/hr INC Duration: 24 Months Hours of work: 40 Location: Temp: 700 University Av Toronto (Hybrid - 2 days remote) Base: Oshawa Job Overview Position Summary The Data Migration Lead is responsible for the planning, governance, and execution of data migration activities across multiple enterprise transformation programs-including, but not limited to, SAP S/4HANA, Asset Suite 9 and ECC initiatives. This senior position calls for technical expertise, strong business process awareness in Finance, SCM, and EAM, and the ability to guide the team in leveraging advanced data governance and integration tools. The successful candidate will ensure that all technology and resource selections align with and enhance OPG's broader data architecture and analytics ecosystem.

Key Responsibilities Shape and deliver the data migration strategy for a variety of enterprise projects (ERP, cloud, analytics, regulatory, and business platform migrations), ensuring early assessment, scope definition, and interdependency mapping. Lead migration efforts across functional domains (Finance, SCM, EAM), using best-in-class solutions for data profiling, lineage, and quality-such as Collibra for governance and Data Lake platforms for scalable data staging and historical archiving. Utilize ERP connectors and integration technologies that enable robust extraction of data and metadata, facilitate migration validation, and support automated reconciliation and data quality checks.

Oversee the use of advanced tooling to compare legacy and target environments, ensuring completeness and accuracy at every migration checkpoint. Collaborate with technology teams to ensure that new data management solutions and resources are selected and deployed in a way that complements existing data lakes, governance frameworks, and analytics platforms. Partner with business data owners and SMEs to establish clear data stewardship, sign-off processes, and ongoing quality monitoring.

Coordinate with infrastructure and security teams to ensure secure, efficient, and compliant data movement across on-premise and cloud environments. Develop and manage dashboards and reports that provide transparency on migration progress, data quality metrics, and readiness for go-live. Work closely with system integrators, legacy system teams, and platform architects to align data migration, cutover, and fallback strategies with OPG's overall enterprise data landscape.

Solution Architecture & Configuration Ensure migration and integration architectures are designed to work seamlessly with OPG's data governance and analytics strategies, including Data Lake environments and Collibra-based governance. Validate that ERP connectors and supporting tools are configured to maximize data extraction, lineage tracking, and auditability across all platforms. Collaborate on the architectural design to ensure scalability, compliance, and best practice alignment for future technology investments.

Qualifications 10+ years of experience in data management, with 5+ years leading data migration for large-scale enterprise transformation projects. Deep understanding of S/4HANA data architecture, SAP MDG, and cross-platform data integration, especially in Finance, SCM, and EAM. Proven experience with industry-leading data governance and migration tools, including Collibra, Data Lake technologies, and ERP integration/connectors.

Expertise in comparing data and metadata across systems, automating migration checks, and ensuring data integrity throughout the migration lifecycle. Strong analytical, leadership, and stakeholder engagement skills. Certifications & Education Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field (advanced degree preferred).

SAP certifications in Data Migration, S/4HANA System Administration, or Master Data Governance. Data governance or management certifications such as COMP (DAMA), Collibra Ranger, or Informatica Certified Professional. Cloud data engineering certifications (e.g., AWS, Azure, or Google Cloud Data Engineer) are highly valued

ETUdata integration certifications (Informatica, Talend, SAP Data Services). Project management or agile certifications (PMP, PRINCE2, Scrum Master, or SAFe) are a plus. Core Competencies Business process expertise in Finance, SCM, and EAM.

Strong grasp of enterprise data governance, lineage, and analytics integration. Skilled in technology selection and solution alignment with broader enterprise data strategies. Proven success in high-stakes, cross-functional delivery environments.