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

Developer Advocate, AI Enablement

Calgary, AB · On-site +1

CA$93K - CA$141K/yr

This role offers ahybrid work schedule, combining remote flexibility with in-office collaboration ... Build and nurture a community of AI practitioners and citizen developers across service lines.

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This position can be located in the following area(s): remote in Canada This is a 4 month contract assignment with potential to extend Company Overview Robots & Pencils is an applied AI engineering ...

Senior Software Developer (Remote)

Calgary, AB · Remote

CA$110K - CA$145K/yr

We enable organizations to create and share defensible records of their data, quickly and easily in ... Drive AI Fluency & Innovation: Evaluate and integrate emerging technologies,including AI-assisted ...

Senior Backend Engineer

Calgary, AB · 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 · 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 ...

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of ... This is for a net new role. #LI-Remote What you will find here: Compensation is one of the main ...

... data. What we can offer you * Remote-first flexibility to work where you work best, with North ... We use AI tools to support parts of the hiring process, including screening and reviewing responses.

Showing results 21-40

Remote Ai Data Engineer information

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote AI data engineer?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are the most commonly searched types of Ai Data Engineer jobs in Calgary, AB?

The most popular types of Ai Data Engineer jobs in Calgary, AB are:

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

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

Infographic showing various Remote Ai Data Engineer job openings in Calgary, AB as of August 2026, with employment types broken down into 57% Full Time, 29% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Data Migration & Automation Developer

Modular Solutions

Calgary, AB • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 25 days ago


Job description

About Modular Solutions

Founded in 2015, Modular Solutions delivers enterprise-grade technology to the insurance industry. Our configurable platform helps insurers, mutuals, MGAs, and brokers manage core operations through a single system designed for flexibility, long-term growth, and complex regulated environments.

Position Summary

Modular Solutions is seeking a Data Migration & Automation Developer to support client data migration, conversion, BI, and implementation projects. This developer-oriented role sits within our Data team and focuses on moving data from source platforms, files, spreadsheets, and custom systems into one clean target state in Modular’s platform.


The ideal candidate is strong with SQL, ETL/ELT, BI, semantic models, scripting, data quality, and migration patterns. They should know how to clean, transform, validate, reconcile, and document data effectively while helping improve and extend our existing migration system.

Strong AI capability is a core requirement. We are looking for someone who understands modern AI-assisted and agentic development workflows and can apply them responsibly to migration and BI work, including source analysis, semantic modeling, report/data-model review, mapping, scripting, validation, documentation, and automation. This role is well suited for someone who enjoys working with data, solving technical problems, identifying inconsistencies, and collaborating with both technical and business teams.

Key Responsibilities

  • Support client data migration, conversion, BI, and implementation projects as a developer-oriented member of the Data team.
  • Extract, clean, transform, map, reconcile, and load data from multiple source platforms, spreadsheets, files, and custom systems into a single, consistent target model.
  • Analyze source data to identify gaps, inconsistencies, duplicates, missing relationships, formatting issues, and other data quality concerns.
  • Write and maintain SQL queries, scripts, migration utilities, data mapping documentation, conversion rules, validation logic, migration notes, and runbooks.
  • Improve and extend our existing migration system, including ETL/ELT patterns, conversion tools, templates, validation checks, semantic-model patterns, BI workflows, and quality-control processes.
  • Use AI-assisted and agentic development workflows to accelerate source analysis, semantic-model design, BI/reporting review, SQL/script generation, documentation, validation, and internal automation while maintaining strong human review.
  • Support test conversions, mock migrations, production migration activities, reporting, reconciliation, and post-migration validation against source systems, business requirements, and expected platform outcomes.
  • Collaborate with Data, Development, Product, Implementation, and business stakeholders to understand data requirements, clarify business rules, resolve defects or conversion gaps, and communicate progress, risks, and dependencies.

 

Required Qualifications

  • A degree, diploma, or certificate in Computer Science, Data Science, Software Development, Information Systems, or a related field, or equivalent professional experience.
  • 3+ years of experience with data migration, data conversion, BI/reporting, semantic models, ETL/ELT, database development, data analysis, implementation projects, or software development.
  • Strong SQL skills and experience with PostgreSQL and analytical data platforms such as Snowflake.
  • Strong understanding of data cleansing, transformation, mapping, validation, reconciliation, and migration from many source platforms and data formats into a clean, reusable target state.
  • Experience using scripting or programming languages such as C#, Python, PowerShell, TypeScript, or similar tools to automate data, reporting, semantic-layer, or migration workflows.
  • Hands-on experience with BI tooling, semantic models, governed metrics, reusable reporting models, and reporting assets that can be reviewed, versioned, tested, or automated.
  • Demonstrated experience with modern AI-assisted and agentic development workflows for coding, scripting, analysis, documentation, BI/reporting work, validation, or automation.
  • Strong analytical, communication, and problem-solving skills, with high attention to detail and the judgment to validate AI-generated code, SQL, mappings, summaries, and analysis before use in client-facing or production migration work.
  • Ability to read and interpret business rules, technical documentation, data layouts, and mapping specifications while managing competing priorities during migration projects.


Preferred Qualifications

  • Insurance data experience, especially policy, billing, claims, broker, customer, coverage, risk, or transaction data.
  • Experience converting data from insurance systems, policy administration systems, spreadsheets, custom-built tools, or other business data sources.
  • Experience with ETL/ELT tools, APIs, internal tooling, automation frameworks, BI tooling, semantic-model tooling, migration utilities, cloud-hosted environments, Agile delivery tools, or implementation/onboarding projects.
  • Snowflake experience is a major asset.
  • Power BI, Microsoft Fabric, or similar BI platform experience is a strong asset, especially where reports, models, and metrics are structured, reviewable, or source-controlled.
  • Experience using agents or automation to improve BI workflows, such as reviewing reporting logic, validating models, documenting semantic layers, or creating quality checks.

Our Technology Stack and Architecture:

Our core platform uses C#/.NET, Entity Framework, PostgreSQL, React, TypeScript, and Azure. This role works closely with product engineering teams on system logic, database structures, APIs, and platform requirements related to migration, BI, data quality, and automation workflows.

Why Join Modular Solutions?

We are building a long-term platform in a complex industry where customers depend on accurate data every day. You will help expand our migration system and make migration and BI work cleaner, faster, and more AI-enabled as we grow. We value autonomy, accountability, strong technical judgment, and people who take pride in building production-grade systems the right way.

What We Offer

  • Be part of a growing company building a modern, enterprise-grade platform for the insurance industry.
  • Work alongside experienced insurance and technology professionals in a collaborative environment.
  • Flexible remote work environment, with a preference for Alberta-based team members, and periodic in-person planning sessions and team events.
  • Extended health, dental, and vision benefits.
  • Access to an Employee and Family Assistance Program.
  • Annual professional development allowance.
  • Additional paid time off beyond standard statutory holidays and vacation.
  • Recognition for meaningful contributions and career milestones.
  • Share Appreciation Rights program so you participate in the company’s long-term success.


To Apply:

Please submit your resume and a brief cover letter outlining your relevant experience and what excites you about this opportunity. We thank all applicants for their interest; only those selected for an interview will be contacted.