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Geospatial Data Engineer Remote Jobs in Calgary, AB

Senior Developer, Enterprise AI

Calgary, AB ยท Remote

CA$157K - CA$212K/yr

  • Medical

  • Dental

  • Vision

Bachelor's degree in Computer Science, Engineering, Data, or equivalent practical experience. * Demonstrate a keen interest in improving your craft by using AI. This is a new position. #LI-Remote ...

Senior QA Engineer

Calgary, AB ยท Remote

  • Medical

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 QA Engineer

Calgary, AB ยท Remote

  • Medical

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 Software Developer (Remote)

Calgary, AB ยท Remote

CA$110K - CA$145K/yr

  • Medical

  • Retirement

  • PTO

We enable organizations to create and share defensible records of their data, quickly and easily in ... What You'll Do as a Senior Software Developer * Design & Scale Robust Architecture: Develop and ...

Senior Backend Engineer

Calgary, AB ยท Remote

CA$145K - CA$155K/yr

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... Design and maintain APIs, database schemas, integrations, and data contracts. * Improve system ...

Senior Backend Engineer

Calgary, AB ยท Remote

CA$145K - CA$155K/yr

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... Design and maintain APIs, database schemas, integrations, and data contracts. * Improve system ...

Geodata Scientist

Calgary, AB ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote with Canada Lieu : A distance, au Canada About the Position The Geodata Scientist role at ... D. in Geophysics, Geology, Geological Engineering, Mineral Engineering, Data Science, Computer ...

... data collection and analysis, including annual surveys, commissioning surveys, remote monitoring ... engineering assessments for changes in pipeline operation and status Support audits and incident ...

... 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 ...

C++ Developer

Calgary, AB ยท On-site +1

  • Medical

  • Dental

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 ...

C++ Developer

Calgary, AB ยท On-site +1

  • Medical

  • Dental

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 ...

Showing results 21-40

Geospatial Data Engineer Remote information

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

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

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

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

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are popular job titles related to Geospatial Data Engineer Remote jobs in Calgary, AB?

For Geospatial Data Engineer Remote jobs in Calgary, AB, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Calgary, AB look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Calgary, AB are:

Infographic showing various Geospatial Data Engineer Remote job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Developer, Enterprise AI

Clio

Calgary, AB โ€ข Remote

CA$157K - CA$212K/yr

Full-time

Medical, Dental, Vision

Re-posted just now


Job description

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently seeking a Senior Developer, Enterprise AI to join our IT team in Canada. This role is also available to candidates across Canada, excluding Quebec. If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum twice per week on one of our Anchor Days.

The Senior Developer, Enterprise AI is a hands-on technical leader responsible for building, operating, and evolving Clio's internal AI systems and platforms. Reporting to the Manager, Enterprise AI, this role focuses on delivering reliable, secure, and scalable AI-enabled workflows that integrate deeply with Clio's internal data and tools.

You will work closely with partners across R&D, Go-To-Market, Finance, People, IT, Data Engineering, and Data Insights to turn real business problems into production-grade AI solutions. This role owns the full lifecycle of what they build from design and implementation through monitoring, iteration, and long-term support.

What you'll work on:
  • Design, build, and maintain AI-enabled workflows, services, and applications integrated with Clio's internal data and systems.

  • Implement and operate solutions using modern AI platforms and tooling (e.g., LLM APIs, orchestration frameworks, retrieval systems).

  • Partner with Data Engineering and Data Insights on data modeling, classification, and metadata management (e.g., Databricks, dbt).

  • Contribute to developer accelerator tooling (e.g. standardized tool calling, MCP server configuration)

  • Ensure solutions are observable, reliable, secure, and cost-efficient, with clear monitoring and operational ownership.

  • Contribute to and uphold responsible AI standards, including privacy, security, and compliance requirements.

  • Collaborate with cross-functional teams to translate ambiguous problems into clear technical designs and shipped solutions.

  • Improve adoption and usability through documentation, internal tooling, and feedback-driven iteration.

  • Act as a technical mentor and thought partner within the Enterprise AI team, helping raise the bar for engineering quality and delivery.

  • Implement and document systems that are auditable and aligned with the organizational risk profile.

What you may have:
  • 4+ years of experience in software engineering, data engineering, or AI systems development.

  • Hands-on experience delivering production-grade systems that integrate data, APIs, and complex workflows.

  • Strong proficiency in Ruby, Python, and experience building services, pipelines, or applications in a cloud environment.

  • Working knowledge of modern data platforms and tooling (e.g., SQL, Databricks, dbt).

  • Experience working with AI/ML or LLM-powered systems (e.g., prompt design, orchestration, retrieval, or model integration).

  • Solid understanding of system design, reliability, observability, and operational best practices.

  • Ability to work effectively with non-technical stakeholders and translate business needs into technical solutions.

  • Experience operating in environments with security, privacy, or compliance constraints.

  • Bachelor's degree in Computer Science, Engineering, Data, or equivalent practical experience.

  • Demonstrate a keen interest in improving your craft by using AI.

This is a new position.

#LI-Remote

What you will find here:

Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance

  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.

  • Flexible time off policy, with an encouraged 20 days off per year.

  • $2000 annual counseling benefit

  • RRSP matching and RESP contribution

  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range for this role is $157,300 to $212,800 CAD. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated todiversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture atclio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.