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Remote Data Jobs in Calgary, AB (NOW HIRING)

Fullscript

Senior Data Engineer

Calgary, AB · Remote

CA$11K - CA$140K/yr

As the Senior Data Engineer, you'll be part of a small team that turns messy practitioner and ... Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred ...

OpsGuru

Sr. Data Engineer

Calgary, AB · On-site +1

We are seeking a Contract Data Engineer to join an agile delivery team and support the design, development, and deployment of data engineering and advanced analytics solutions. The role involves ...

TELUS

Engineering Manager - Data Ingestion

Calgary, AB · Remote

As Manager of Data Foundations, you'll consolidate multiple Google Cloud Platform (GCP) deployments ... Comfort with distributed teams and experience managing offshore or remote team members * Ability to ...

Takeaway

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

Winnipeg/Toronto Remote Reporting to: Associate Director of Data & Insights These are some of the key components to the position: * Own end-to-end reliability of the cross-cloud pipeline - batch and ...

Almedia

Game Tester - Remote

Crossfield, AB · On-site +1

... flexible, remote work opportunities, - real impact on product growth and an innovative company ... data and applying improvements, - collaborating with product and marketing teams, - creating ...

Almedia

Game Tester - Remote

Turner Valley, AB · On-site +1

... flexible, remote work opportunities, - real impact on product growth and an innovative company ... data and applying improvements, - collaborating with product and marketing teams, - creating ...

Almedia

Game Tester - Remote

Rocky View County, AB · On-site +1

... flexible, remote work opportunities, - real impact on product growth and an innovative company ... data and applying improvements, - collaborating with product and marketing teams, - creating ...

Almedia

Game Tester - Remote

Wheatland County, AB · On-site +1

... flexible, remote work opportunities, - real impact on product growth and an innovative company ... data and applying improvements, - collaborating with product and marketing teams, - creating ...

Almedia

Game Tester - Remote

Okotoks, AB · On-site +1

... flexible, remote work opportunities, - real impact on product growth and an innovative company ... data and applying improvements, - collaborating with product and marketing teams, - creating ...

Almedia

Game Tester - Remote

Cochrane, AB · On-site +1

... flexible, remote work opportunities, - real impact on product growth and an innovative company ... data and applying improvements, - collaborating with product and marketing teams, - creating ...

Almedia

Game Tester - Remote

Canmore, AB · On-site +1

... flexible, remote work opportunities, - real impact on product growth and an innovative company ... data and applying improvements, - collaborating with product and marketing teams, - creating ...

Almedia

Game Tester - Remote

Black Diamond, AB · On-site +1

... flexible, remote work opportunities, - real impact on product growth and an innovative company ... data and applying improvements, - collaborating with product and marketing teams, - creating ...

Almedia

Game Tester - Remote

Irricana, AB · On-site +1

... flexible, remote work opportunities, - real impact on product growth and an innovative company ... data and applying improvements, - collaborating with product and marketing teams, - creating ...

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Showing results 1-20

All JobsRemote Data JobsRemote Data Jobs in Calgary, AB

Remote Data information

See Calgary, AB salary details

$10

$41

$82

How much do remote data jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote data in Calgary, AB is $41.51, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $58.41 per hour, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, especially with specialized skills in programming, statistics, and tools like SQL or Python. To reach $2000 weekly, professionals often need extensive experience, a strong portfolio, and may work as freelancers or in consulting, often requiring a full-time schedule or multiple projects simultaneously.

What job makes $10,000 a month without a degree?

Remote data-related roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month without a formal degree, especially with strong skills in SQL, Python, or data visualization tools. Success in these roles often depends on experience, portfolio, and the ability to secure high-paying clients or positions, rather than formal education alone.

How to make $1000 a week remotely?

Remote data-related jobs such as data analysis, data entry, or data management can offer opportunities to earn $1000 weekly, especially with high-demand skills like SQL, Excel, or Python. Achieving this income typically requires consistent work, specialized skills, and possibly freelance or contract work arrangements that pay per project or hourly rates of $25-$50 or more.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Calgary, AB? The most popular types of Data jobs in Calgary, AB are:
What are popular job titles related to Remote Data jobs in Calgary, AB? For Remote Data jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Calgary, AB look for? The top searched job categories for Remote Data jobs in Calgary, AB are:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Calgary, AB as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $86,346 per year, or $41.5 per hour.

Senior Data Engineer

Fullscript

Calgary, AB • Remote

CA$11K - CA$140K/yr

Full-time

Retirement, PTO

Posted 8 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 powers care for 125,000+ healthcare practitioners and 10M+ patients by making clinical insights, treatment workflows, and longitudinal data accessible and actionable across the platform.
 
As the Senior Data Engineer, you'll be part of a small team that turns messy practitioner and clinical data into reliable, analysis-ready assets that enable causal outcome modeling, lab normalization, and strategic patient and prescribing insights.
 
This role requires healthcare-specific data experience and a practical comfort with semi-structured sources that are common in clinical environments, not just general-purpose data engineering.
 

What you'll do

  • Ingest and normalize heterogeneous healthcare data sources including clinical records, lab results, intake forms, and semi-structured artifacts
  • Build robust, reproducible ELT pipelines in a cloud data stack to generate clean, longitudinal patient-level datasets
  • Apply OCR and NLP techniques to extract structured signals from unstructured clinical documents
  • Implement data quality frameworks, testing, version control, and CI/CD for all ingestion and transformation workflows
  • Collaborate with data science and product partners to ensure data models support causal inference and predictive analysis needs
  • Optimize pipeline performance and scalability in cloud data warehouses such as Snowflake or comparable technologies
  • Produce clear documentation and operational runbooks that enable internal consumers to trust and act on healthcare datasets

What you bring to the table

  • 5+ years in Data Engineering, preferably in healthcare, health tech, or regulated domains
  • Deep SQL skills and Python experience applied to data extraction, transformation, and validation
  • Experience with dbt or similar transformation tooling and workflow orchestration (Airflow, Argo, etc.)
  • Proven ability to handle semi-structured and unstructured data common in clinical workflows
  • Hands-on experience with cloud data platforms (Snowflake, BigQuery, Redshift) and scalable pipeline architectures
  • Strong data modeling skills, especially for longitudinal patient, event, and lab data structures
  • Clear communicator comfortable explaining technical decisions to both technical and non-technical stakeholders

Bonus if you have

  • Familiarity with healthcare standards like FHIR, HL7, or clinical interoperability frameworks
  • Practical experience with OCR/NLP libraries for document parsing in a data pipeline
  • Exposure to predictive analytics or ML model feature engineering in clinical contexts
  • Exposure to building data assets that support causal inference or observational research
  • Previous mentorship or leadership experience within data engineering teams

What we can offer you

  • Salary range: $110,00 to $140,000 CAD
  • 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
  • Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
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
Let's make healthcare whole 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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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