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Remote Data Engineer Jobs in Mississauga, ON (NOW HIRING)

Partner with Finance, Data Engineering, Analytics, and application teams to resolve data issues, improve definitions, and increase trust in critical business data * Document data models, lineage ...

Senior/Lead Data Engineer Current Need: The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis ...

Senior/Lead Data Engineer Current Need: The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis ...

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

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 ...

Showing results 21-40

Remote Data Engineer information

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

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

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

What cities near Mississauga, ON are hiring for Remote Data Engineer jobs?

Cities near Mississauga, ON with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Mississauga, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Sr. Data Engineer

Propel Holdings

Toronto, ON • Remote

Full-time

Medical, Dental, PTO

Posted 11 days ago


Job description

About Us:

Propel (TSX: PRL) is the fintech company building a new world of financial opportunity by facilitating access to credit for consumers underserved by traditional financial institutions. Through its AI-driven platform, Propel evaluates customers in a more comprehensive way than traditional credit scores can. Our revolutionary fintech platform has already helped consumers access over one million loans and lines of credit and over one billion dollars in credit.

To build a new world of opportunity we bring together the brightest talent to help us build opportunities. We are entrepreneurs and believe in measuring success through results and growing within; talent and hard work never goes unnoticed. At Propel, we are here to change the way employees, customers and shareholders succeed together.

We are a team of passionate entrepreneurs, who foster curiosity and growth in our employees. Our culture is why we have been so successful and why our employees choose Propel to build their careers. It is also why we are one of North America’s fastest growing companies and a Best Place to Work.

Join us as we change the way employees, customers and shareholders succeed together.

 

About You:

You thrive in a vibrant, entrepreneurial organization where your ideas are valued. You are motivated by goals, a self-starter, and enjoy wearing multiple hats in a fast-growing fintech environment.

You are a talented professional looking for a career, not a job.  Reporting to the Director, Data Platform, you will be responsible for developing and troubleshooting Stored Procedures, SQL, and SQL-based strategy for various teams. Much of your work will focus on Finance-related concepts and you will work closely with our Finance team, so ideally you already have some of this knowledge or you are highly motivated and autonomous when learning.

 

Responsibilities

  • Design, develop, and maintain secure, scalable Snowflake databases, schemas, warehouses, and data-sharing solutions for analytics, reporting, and finance use cases
  • Translate business and Finance requirements into well-defined Snowflake data models, technical designs, data contracts, and implementation plans
  • Develop and troubleshoot advanced Snowflake SQL, Snowflake Scripting, stored procedures, user-defined functions, and reusable data-platform components
  • Build and maintain reliable ELT pipelines using Snowflake stages, file formats, COPY INTO, Snowpipe, Streams, Tasks, Dynamic Tables, and appropriate integration or orchestration tools.
  • Create and evolve dimensional, relational, and semi-structured data models using Snowflake capabilities such as VARIANT, FLATTEN, and schema evolution where appropriate
  • Optimize Snowflake workloads by using Query Profile and query history to improve pruning, warehouse sizing, clustering, concurrency, caching, and overall execution performance
  • Establish cost-efficient warehouse and workload-management strategies, including sizing, auto-suspend, resource monitors, and usage monitoring
  • Implement and maintain Snowflake security and governance controls, including role-based access control, least-privilege permissions, masking policies, row access policies, tagging, auditing, and data classification
  • Support reliable development and release practices across environments through Git-based version control, code review, automated testing, CI/CD, and repeatable deployment processes
  • Develop monitoring, reconciliation, quality checks, and operational dashboards to identify pipeline failures, data freshness issues, query regressions, and unexpected Snowflake consumption
  • Apply Snowflake capabilities such as Time Travel, zero-copy cloning, secure data sharing, and environment isolation to support recovery, testing, and controlled access
  • Partner with Finance, Data Engineering, Analytics, and application teams to resolve data issues, improve definitions, and increase trust in critical business data
  • Document data models, lineage, operational procedures, security decisions, and performance or cost-tuning recommendations
  • Contribute to technical standards and mentor team members on Snowflake engineering best practices

 

Requirements

Must Have:

  • 8+ years of professional experience designing, developing, and troubleshooting SQL-based database or data-engineering solutions
  • 3+ years of hands-on experience building and operating production workloads on Snowflake
  • Strong knowledge of Snowflake architecture, including databases, schemas, virtual warehouses, micro-partitions, storage/compute separation, caching, and workload isolation
  • Advanced Snowflake SQL skills, including complex transformations, window functions, semi-structured data, query optimization, and data reconciliation
  • Experience developing Snowflake Scripting procedures, JavaScript or Python stored procedures, user-defined functions, and other reusable database logic
  • Practical experience designing ELT pipelines with Snowflake stages, file formats, COPY INTO, Snowpipe, Streams, Tasks, Dynamic Tables, or comparable Snowflake-native features
  • Proven ability to model data for analytics and Finance, including dimensional modeling, facts and dimensions, slowly changing dimensions, and appropriate normalization or denormalization decisions
  • Demonstrated experience diagnosing and improving Snowflake performance using query history, Query Profile, warehouse configuration, partition pruning, clustering, and workload/concurrency analysis
  • Experience managing Snowflake access and governance through RBAC, custom roles, grants, masking policies, row access policies, tags, and audit or usage monitoring
  • Experience with Python and scripting for data engineering, automation, testing, or Snowflake administration; Snowpark experience is an asset
  • Experience with GitHub or GitLab and collaborative software-development practices, including pull requests, code review, and automated deployment
  • Experience using generative AI tools such as ChatGPT, Claude, or Copilot is an asset, along with the ability to adopt AI tools responsibly in day-to-day engineering work

Nice To Have:

  • Experience with dbt, Airflow, Dagster, or another modern transformation and orchestration framework integrated with Snowflake
  • Experience with Snowflake governance, observability, cost-management, data-quality, or catalog tools
  • Experience with Snowflake account replication, failover groups, secure data sharing, or other business-continuity capabilities
  • Knowledge of Finance, accounting, lending, risk, or regulatory reporting concepts and data requirements
  • Experience migrating workloads from MySQL, Oracle, or other legacy database platforms to Snowflake
  • Development experience in Java or another application programming language
  • Experience with infrastructure-as-code or automated cloud deployment practices
  • Experience working with APIs, event-driven ingestion, REST services, or cloud storage integrations

Benefits to Joining Propel

  • Growth and opportunity – we pride ourselves on promoting from within
  • Incredible company culture
  • Competitive salary and health benefits
  • Comprehensive vacation package
  • Group health and dental benefits
  • Group RRSP program
  • Support for new parents
  • Diverse and inclusive workplace

 

Salary Range

$110,000 – $150,000

Final compensation is determined by market conditions, location, and the candidate’s experience, skills, and education. This role may also be eligible for performance-based incentive programs and total compensation may include variable incentives, such as bonuses and commissions.

 

This posting is for an existing vacancy within our organization.

 

Our Culture

Propel brings together the brightest talent to build opportunities. We are entrepreneurs who measure success through results and growth from within; talent and hard work never go unnoticed. Our team fosters curiosity and growth, making Propel one of North America’s fastest-growing companies and a Best Place to Work.

 

Commitment to Diversity & Inclusion

Propel welcomes and encourages applications from all groups, including Indigenous peoples, women, visible minorities, persons with disabilities, people from gender and sexually diverse communities, and those with intersectional identities. Should you require accommodation throughout any stage of the recruitment and selection process, please specify your requirements when submitting your application and we will work with you to meet your needs.

AI Disclosure

We use AI to assist in reviewing applications and assessing candidates. These tools support our recruitment team, however, all hiring decisions are made by our trained hiring managers and recruitment professionals, not AI.