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Remote Data Engineer Government Jobs in Toronto, ON

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 ...

New

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

Fusemachines serves companies in industries such as retail, manufacturing, and government ... Strong programming skills in languages such as Python * Hands-on experience with ML frameworks ...

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 ...

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

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.

New

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 ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Showing results 21-40

Remote Data Engineer Government information

What is the difference between Remote Data Engineer Government vs Remote Data Engineer Corporate?

AspectRemote Data Engineer GovernmentRemote Data Engineer Corporate
CredentialsTypically requires security clearances, government-specific certificationsUsually requires general data engineering certifications like AWS, Google Cloud
Work EnvironmentGovernment agencies, public sector projects, strict compliance standardsPrivate companies, startups, corporate data teams, flexible environments
Employer & IndustryFederal, state, or local government agenciesTech firms, finance, healthcare, retail
Search & Comparison IntentUnderstanding government-specific roles, security requirementsExploring corporate data engineering opportunities

The main difference between Remote Data Engineer Government and Remote Data Engineer Corporate lies in the work environment, required credentials, and industry focus. Government roles often demand security clearances and compliance with strict standards, while corporate roles tend to be more flexible and industry-specific. Both roles require strong data engineering skills but cater to different sectors and operational protocols.

What are popular job titles related to Remote Data Engineer Government jobs in Toronto, ON?

For Remote Data Engineer Government jobs in Toronto, ON, the most frequently searched job titles are:

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

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

Infographic showing various Remote Data Engineer Government job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Manager, Data Engineering

Moneris

Toronto, ON • On-site, Remote

CA$142K - CA$177K/yr

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


Job description

Your Moneris Career - The Opportunity

As the Senior Manager, Data Engineering, you will lead the data engineering function responsible for delivering reliable, scalable, and secure data platforms that power Moneris' business operations, analytics, and data-driven decision-making.

This role offers the opportunity to shape the future of Moneris' enterprise data ecosystem through platform modernization, cloud transformation, and engineering excellence. You will lead the migration to modern data platforms, including Snowflake, while advancing DataOps and MLOps capabilities that support analytics, machine learning, and business intelligence initiatives. Working closely with architecture, governance, security, and business stakeholders, you will drive delivery of enterprise-scale data solutions, establish engineering best practices, and build a high-performing team focused on innovation, reliability, and measurable business outcomes.

Location: 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: Replacement Position

Salary Range: The expected base salary range for this role is $142,000 - $177,000

Total compensation may also include variable or discretionary incentive components, including but not limited to bonuses and commissions. Individual job offers are determined by various factors, including experience, education, skills, certifications, and other business needs.

Your Moneris Career - What you'll do

  • Lead and develop a high-performing Data Engineering team through coaching, mentorship, and performance management.

  • Define and execute the roadmap for enterprise data platforms, pipelines, and services.

  • Lead Snowflake migration initiatives and modernization of legacy enterprise data warehouse (EDW) environments.

  • Oversee the design, development, and operation of secure, scalable batch and real-time data solutions.

  • Establish engineering standards, development practices, and operational processes to improve platform reliability and performance.

  • Partner with Architecture, Governance, Security, and Product teams to implement enterprise data capabilities.

  • Enable DataOps and MLOps practices, including feature engineering pipelines and machine learning data workflows.

  • Build and enhance CI/CD pipelines, automated testing frameworks, and data quality controls.

  • Drive adoption of Infrastructure as Code (IaC), deployment automation, and engineering best practices.

  • Monitor platform health through observability, service metrics, incident management, and continuous improvement.

  • Optimize data platform performance, scalability, operational efficiency, and cloud spend.

  • Lead prioritization and delivery of strategic data engineering initiatives while managing risks and stakeholder expectations.

Your Moneris Career - What you bring

Required Qualifications

  • University degree in Computer Science, Engineering, or a related discipline; equivalent experience will be considered.

  • 10+ years of progressive experience in Data Engineering and enterprise data platform delivery.

  • Experience leading engineering teams and delivering large-scale data solutions in complex enterprise environments.

  • Hands-on experience with modern data platforms such as Snowflake and Databricks.

  • Experience designing and supporting data lakes, data warehouses, streaming platforms, and modern analytics ecosystems.

  • Strong knowledge of cloud platforms including AWS, Azure, or GCP.

  • Experience with SQL, NoSQL, and distributed data processing frameworks.

  • Proficiency in Python, Scala, Java, or similar programming languages.

  • Experience establishing engineering standards, CI/CD practices, automation frameworks, and operational processes.

  • Strong understanding of DataOps, MLOps, data quality, security, and governance principles.

  • Strong stakeholder management and communication skills with the ability to influence cross-functional teams and executive stakeholders.

  • Proven ability to balance strategic planning with execution and operational excellence.

Preferred Qualifications

  • Experience leading enterprise Snowflake migration and modernization programs.

  • Experience supporting machine learning platforms and feature engineering pipelines.

  • Experience implementing Infrastructure as Code (IaC) frameworks.

Your Moneris Career - What you get

At Moneris, we believe in empowering you to succeed-personally and professionally. As part of our team, you'll have access to resources, opportunities, and an inclusive environment that supports your development and career.

  • Comprehensive Total Rewards Program, including performance-based bonuses, flexible benefits starting from day one, and your choice of a health spending account (HSA) or personal spending account (PSA).

  • Retirement planning support, with profit-sharing programs including company match and a defined contribution pension plan.

  • Growth & development opportunities, including unlimited access to Coursera, mentorship programs, and an internal gig marketplace.

  • Holistic wellness support, with an Employee & Family Assistance Program, 24/7 virtual healthcare, and workplace wellness initiatives.

  • Flexibility that works for you, including hybrid work arrangements, a Work from Abroad program, and paid time off programs.

  • Recognition and rewards, with company-wide recognition programs, exclusive banking perks from RBC & BMO, and access to great employee discounts.

Find out more about the work perks and benefits you get as a Moneris employee at Moneris.com/careers.

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Note: We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities.

AI Disclosure: We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

We acknowledge that people from equity-deserving groups (including racialized individuals, women, gender diverse individuals, individuals with disabilities, neurodivergent individuals, members of 2SLGBTQIA+ communities and those born outside of Canada) are less likely to apply for jobs unless they feel they meet all the requirements posted. At Moneris, we believe candidates bring experience to their work in many ways. We encourage you to apply and share, in the application form, the transferrable experience you bring, and how this will support your success in this role.