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Remote Data Engineer Jobs in Kitchener Waterloo, ON

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

Senior DevOps Engineer

Kitchener, ON · On-site +1

CA$110K - CA$140K/yr

Data and Delivery Manager Location: Kitchener, ON (Onsite) About the Role: We are seeking a ... Implement and manage software release channels and mechanisms for on-site and remote software image ...

Senior DevOps Engineer

Kitchener, ON · On-site +1

CA$110K - CA$140K/yr

Data and Delivery Manager Location: Kitchener, ON (Onsite) About the Role: We are seeking a ... Implement and manage software release channels and mechanisms for on-site and remote software image ...

This is a permanent position, remote based in Vancouver! You'll be working with cutting edge ... Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ...

This is a permanent position, remote based in Vancouver! You'll be working with cutting edge ... Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ...

This is a permanent position, remote based in Vancouver! You'll be working with cutting edge ... Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ...

This is a permanent position, remote based in Vancouver! You'll be working with cutting edge ... Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ...

Broadcast Engineer, Level 1

Waterloo, ON · Remote

CA$60K - CA$70K/yr

... original programming, data, and technology to help sports grow their audiences and build ... Hands-on experience with Videon * 1+ year of stream technician on-site/remote OUR COMMITMENT TO ...

Showing results 21-40

Remote Data Engineer information

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 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.

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 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 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.

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

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

Infographic showing various Remote Data Engineer job openings in Kitchener Waterloo, ON as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Software Engineer - Open Data Platform (ODP)

Acceldata

Kitchener, ON • On-site, Remote

CA$70K - CA$100K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 26 days ago


Job description

ABOUT US
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.
 
Our Enterprise Data Observability Platform-the first of its kind-helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today's most critical technologies, including AI, LLMs, Analytics, and DataOps.
 
Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey's, Dun & Bradstreet, and many more.

ABOUT THE ROLE
We are seeking a Software Engineer with at least 3 years of experience in distributed systems or data platform development. In this role, you will design, build, and scale components of the Acceldata Open Data Platform (ODP), contributing to open-source technologies and solving real-world challenges in large-scale data infrastructure.
 
WHY JOIN US
At Acceldata, you won't just be writing code; you'll be shaping the foundation of modern data platforms used by some of the world's largest enterprises. You'll work alongside seasoned engineers and open-source contributors who are passionate about solving complex distributed systems challenges at scale. Every project you take on will directly impact how a data platform is managed, observed, and optimized across hybrid and cloud ecosystems.
 
This is your chance to build technology that truly matters, software that drives mission-critical pipelines, scales to petabytes, and influences the open-source community at large. We move fast, value creativity, and reward innovation. If you're looking for a place where your ideas can become real systems and your work can be seen, used, and respected across the data ecosystem, Acceldata is where you belong.
RESPONSIBILITIES
  • Design, develop, and maintain high-quality software for the Open Source Data Platform.
  • Collaborate with cross-functional teams to define, design, and implement new features.
  • Utilize mandatory Linux skills and expertise.
  • Write clean, well-tested, and efficient code in Java, Python, or Scala.
  • Participate in code reviews and contribute to architectural discussions.
  • Debug and resolve technical issues, ensuring optimal performance and stability.
  • Continuously learn and stay up-to-date with industry best practices and emerging technologies.
  • Work across diverse environments: Bare Metals, VM, and Kubernetes.
REQUIREMENTS
  • Mandatory proficiency in Linux to facilitate code deployment and execution.
  • Familiarity with Kubernetes, Docker, and cloud environments is a plus.
  • Extensive hands-on experience in programming with either Java or Scala and Python.
  • Developed and prepared project build models associated with Maven, Gradle, or SBT.
  • Experienced in Github & Nexus management and its use cases.
  • Strong coding, debugging, and troubleshooting capabilities to resolve issues, enhance software applications, and ensure seamless deployment.
  • In-depth understanding of fundamental software engineering concepts such as thread/process management, database management, virtualisation, and distributed computing.
  • Demonstrated expertise in prior projects and contributions, as detailed in the curriculum vitae or resume.
  • Demonstrated fluency in English communication.
  • Strong capacity for collaboration with internal teams, external contributors, and the broader open-source community.
  • Ability to communicate effectively with senior leadership, presenting technical accomplishments and strategic insights.
PREFERRED SKILLS
  • Contributed to Apache or open source projects
  • Possess experience with Bigdata stacks or components and deployed applications.
  • Developed in-house automation for platform management.
$70,000 - $100,000 a year
At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.
 
#LifeAtAcceldata is all about working with some of the best minds in the industry and experiencing a culture that values an 'out-of-the-box' mindset. If you want to push boundaries, learn continuously, and grow to be the best version of yourself, Acceldata is the place to be! 
 
We also believe in providing our employees with the right tools and resources to help them excel at their jobs. We offer:
- PTO Plan with unlimited negative balance
- RRSP Plan
- Up to 100% employer-paid benefit options for health, dental, and vision coverage
- Supplemental Benefits
- Apple Air Mac Equipment
- Office gym access (includes workout equipment, basketball court, and showers)
- Becoming part of the team that coined the term "Data Observability"!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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