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Remote Data Engineer Jobs in Calgary, AB (NOW HIRING)

Cloud Security Engineer

Calgary, AB · Remote

CA$100K - CA$110K/yr

You'll help protect sensitive health data, harden our cloud footprint, automate guardrails, and ... Salary range: $100,000 to $110,000 CAD * Remote-first flexibility to work where you work best, with ...

We are looking for an experienced Java Developer for our client. This is a permanent position that ... data sets with SQL * Experience working with RESTful API's Perks: * Competitive Salary * Remote ...

We are looking for an experienced Java Developer for our client. This is a permanent position that ... data sets with SQL * Experience working with RESTful API's Perks: * Competitive Salary * Remote ...

We are looking for an experienced Java Developer for our client. This is a permanent position that ... data sets with SQL * Experience working with RESTful API's Perks: * Competitive Salary * Remote ...

We are looking for an experienced Java Developer for our client. This is a permanent position that ... data sets with SQL * Experience working with RESTful API's Perks: * Competitive Salary * Remote ...

This is a remote position, with a company based in Vancouver. Our client is a rapidly growing ... data into action plans. * Technology and systems: Comfortable with the following software: JIRA ...

This is a remote position, with a company based in Vancouver. Our client is a rapidly growing ... data into action plans. * Technology and systems: Comfortable with the following software: JIRA ...

... Data platforms experience * Bachelor's degree in Computer Science, a related field, or relevant ... Remote work friendly, with the ability to travel up to 50% * Loves teamwork & collaboration in a ...

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 ...

Experience with smart infrastructure equipment, such as automatic feeder switches, remote sensing ... The firm partners with utilities, commercial, industrial, data center, and government clients, and ...

Experience with smart infrastructure equipment, such as automatic feeder switches, remote sensing ... The firm partners with utilities, commercial, industrial, data center, and government clients, and ...

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor ... Preferred based in Calgary, but could be a fully remote position Benefits Compensation: Annual ...

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Remote Data Engineer information

See Calgary, AB salary details

$68.5K

$127.3K

$162K

How much do remote data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote data engineer in Calgary, AB is $127,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $145,000.00 per year, depending on experience, location, and employer.

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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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 engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
What are the most commonly searched types of Data Engineer jobs in Calgary, AB? The most popular types of Data Engineer jobs in Calgary, AB are:
Infographic showing various Remote Data Engineer job openings in Calgary, AB as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,317 per year, or $61.2 per hour.

Cloud Security Engineer

Fullscript

Calgary, AB • Remote

CA$100K - CA$110K/yr

Full-time

Retirement, PTO

Posted 7 days ago


Job description

About Fullscript

We're an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.

That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.

We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.

This is your invitation.

Bring your ideas, your grit, and your care for people.
Join us and shape the future of care.
The Opportunity

Fullscript is looking for a Cloud Security Engineer to help secure the cloud platforms that power care delivery for millions of patients.

In this role, you'll partner with engineering teams to design, build, and operate secure-by-default cloud infrastructure across AWS and Google Cloud. You'll help protect sensitive health data, harden our cloud footprint, automate guardrails, and move cloud security from project-by-project work into a scalable, programmatic practice.

You'll work closely with Security Engineering, GRC, SOC, Platform Engineering, and product teams to prevent, detect, and respond to cloud-native threats. This is a hands-on engineering role for someone who likes solving complex infrastructure problems with code, cares about helping teams ship securely, and wants their work to support better patient outcomes.

What you'll do
  • Design and implement cloud security controls across AWS and Google Cloud, including multi-account architecture, network segmentation, data protection, and secure-by-default infrastructure patterns.
  • Build reusable Terraform modules, reference architectures, policy-as-code guardrails, and self-service tooling that make secure implementation easier for engineering teams.
  • Operate and tune CSPM/CNAPP tooling to identify misconfigurations, exposures, toxic combinations, and coverage gaps across Fullscript's cloud environments.
  • Drive remediation of cloud vulnerabilities and misconfigurations, balancing risk, engineering effort, customer impact, and business priorities.
  • Strengthen IAM, secrets management, key rotation, cloud credentials, machine identities, and just-in-time access patterns across cloud and SaaS environments.
  • Embed security into CI/CD pipelines through IaC scanning, container image scanning, SBOM generation, artifact protection, and software supply chain controls.
  • Partner with the SOC and engineering teams on cloud-native detections, logging, runbooks, incident response, post-incident learning, and secure AI/ML workload patterns.
What you bring to the table
  • 4+ years of security engineering experience, including 2+ years focused on cloud security in AWS and/or Google Cloud.
  • Strong understanding of cloud-native attack paths, IAM risks, network controls, data protection, key management, secrets management, and workload identity.
  • Hands-on experience with infrastructure-as-code, ideally Terraform, and a strong understanding of how to secure it at scale.
  • Ability to write code in Python, Go, or a similar language to automate detection, remediation, and security workflows.
  • Experience integrating security tooling into CI/CD pipelines and developer workflows without creating unnecessary friction.
  • Working knowledge of at least one compliance framework such as SOC 2, HIPAA, HITRUST, PCI-DSS, or ISO 27001, with the ability to translate requirements into technical controls.
  • Strong communication and collaboration skills, with a bias toward enabling teams, influencing without authority, and helping engineers build securely.
Bonus if you have
  • Experience in healthcare, fintech, or another regulated environment.
  • Hands-on experience with CSPM or CNAPP tools such as Wiz, Prisma Cloud, Lacework, or similar platforms.
  • Experience securing Ruby on Rails, JavaScript, TypeScript, GraphQL, containerized workloads, or modern cloud-native applications.
  • Cloud incident response, forensics, or threat hunting experience.
  • Experience securing AI/ML workloads, LLM integrations, data science platforms, autonomous AI systems, or non-human identities.
  • Familiarity with AI/ML model supply chain risks, AI-specific SBOMs, or controls for limiting blast radius and privilege escalation.
  • Open-source contributions or experience building internal security tooling.
What we can offer you
  • Salary range: $100,000 to $110,000 CAD
  • Remote-first flexibility to work where you work best, with Ottawa, Toronto, Calgary, or Vancouver preferred for this role.
  • Flexible PTO and competitive pay, because work-life balance matters
  • RRSP/401k match and stock options to invest in your future
  • Premium benefits package with customizable coverage, paramedical services, and an HSA.
  • Fullscript discounts to save on high-quality wellness products
  • Continuous learning opportunities to grow your skills and career

Fullscript shares salary ranges to support transparency and help candidates make informed decisions. The range shown reflects base salary only and does not include stock options, wellness stipends, or other benefits that are part of Fullscript's total rewards package.

Final compensation depends on experience, skills, and location. We review pay regularly to stay aligned with market data and internal equity. Benefits and total rewards may vary by region.

Why Fullscript

Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.

What to Know Before You Apply

We're grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page.

A quick note: Due to the high volume of applications, we're not able to respond to phone or email inquiries about application status. If there's a match, our team will reach out directly.

Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at [email protected].

All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.

We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.

Learn More
www.fullscript.com
@fullscriptHQ on instagram
@fullscript on YouTube
FullScript on LinkedIn
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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