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Full Time Data Engineer Jobs in Calgary, AB (NOW HIRING)

Finning

Data Engineer II

Calgary, AB · Hybrid

Finning Canada is looking to hire a permanent, fulltime Data Engineer II based either in Surrey, Calgary or Edmonton who will work as a part of the Software Development Services (SDS) Tier 4 support ...

Enfinite

Data Engineer, Digital Systems

Calgary, AB · Hybrid

Data Engineer, Digital Systems Calgary, Alberta | Full-Time | Hybrid Build the data foundation behind Alberta's evolving energy infrastructure. Enfinite is looking for a hands-on Data Engineer to ...

Viridien

Machine Learning Engineer

Calgary, AB · On-site

Machine Learning Engineer Calgary, AB, Canada Full-time Company Description Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data ...

Enfinite

Junior Engineer (EIT)

Calgary, AB

Alberta Employment Type:Full-Time Permanent Reports to:Director- Compliance & Assurance ... This role is ideal for a recent engineering graduate who enjoys working with data, improving ...

Enfinite

Junior Engineer (EIT)

Calgary, AB · On-site

Full-Time Permanent Reports to:Director Compliance & Assurance MeetEnfinite Enfiniteis a dynamic ... This role is ideal for a recent engineering graduate who enjoys working with data, improving ...

AltaLink

Sr Substation Engineer

Calgary, AB · On-site

Job Type: Full-time Permanent Category: Internal/External Opportunities Powering a bright future ... Analyze data from numerous expert systems and data sources, including operational and conditional ...

Thermon

Electrical Engineer

Calgary, AB

This position requires full-time onsite presence every day for close interaction with the ... Maintain computer data, files, and document records. Safety Ensure a safe workplace, including ...

Thermon

Electrical Engineer

Calgary, AB · On-site

This position requires full-time onsite presence every day for close interaction with the ... computer data, files, and document records. Safety • Ensure a safe workplace, including ...

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All JobsData Engineer JobsFull Time Data Engineer JobsFull Time Data Engineer Jobs in Calgary, AB

Full Time Data Engineer information

What is the difference between Full Time Data Engineer vs Data Analyst?

AspectFull Time Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related; often certifications in cloud or data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentTech teams, data infrastructure projects, cloud platformsBusiness units, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting
Common Search & Comparison IntentUnderstanding roles, skills, and career pathsJob responsibilities, tools, and skills needed

Full Time Data Engineers focus on building and maintaining data infrastructure, pipelines, and systems, often requiring programming and cloud skills. Data Analysts interpret data, create reports, and visualize insights, typically using analytics tools. Both roles are essential in data-driven organizations but differ in technical depth and focus areas.

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:
What are popular job titles related to Full Time Data Engineer jobs in Calgary, AB? For Full Time Data Engineer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Full Time Data Engineer jobs in Calgary, AB look for? The top searched job categories for Full Time Data Engineer jobs in Calgary, AB are:
Full Time Data Engineer jobs near you
Infographic showing various Full Time Data Engineer job openings in Calgary, AB as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer II

Finning

Calgary, AB • Hybrid

Full-time

Posted 26 days ago

Job description

Company:Finning International Inc.Number of Openings:1Worker Type:PermanentPosition Overview:Data is deeply embedded in the product, engineering, analytics, and operational culture at Finning.
Finning Canada is looking to hire a permanent, fulltime Data Engineer II based either in Surrey, Calgary or Edmonton who will work as a part of the Software Development Services (SDS) Tier 4 support team, you will provide advanced production support for reliable, scalable, secure, and AI-ready data solutions. This role is focused on monitoring, troubleshooting, incident resolution, service request fulfilment, operational readiness, and continuous improvement across modern data processing and storage platforms, including Snowflake, Databricks, Azure Data Factory, Azure Data Lake, and SQL.
You will work closely with product, engineering, analytics, infrastructure, security, and business teams to keep critical data services stable, performant, secure, and supportable.
Why Join Finning?
Global exposure across treasury, capital markets, and risk
Strong career progression opportunities within finance
Collaborative, supportive, and high-performing team
Hybrid work model: 2-to-3 days/week in office
Competitive compensation: $80,000 - $95,000 base + bonus + benefitsJob Description:

Responsibilities

  • Provide Tier 4 production support for data platforms, pipelines, integrations across Snowflake, Databricks, Azure Data Factory, Azure Data Lake, and SQLdatabases.

  • Triage, investigate, resolve, and document incidents, service requests, defects, data quality issues, performance problems, failed jobs, and access-related requests.

  • Support Snowflake operations including databases, schemas, warehouses, roles, access patterns, query troubleshooting, performance tuning, cost awareness, secure data sharing, and operational governance.

  • Perform root cause analysis, contribute to problem management, and recommend preventive actions to reduce recurring incidents and improve service reliability.

  • Create and maintain support documentation, runbooks, knowledge articles, recovery procedures, escalation paths, and operational handover materials.

  • Use AI-assisted tools responsibly to accelerate support activities such as log analysis, query troubleshooting, documentation, ticket summarization, anomaly detection, and knowledge discovery while maintaining privacy, security, and quality standards.

  • Collaborate with development and engineering teams on fixes, releases, change validation, operational acceptance, deployment readiness, and post-release support.

  • Drive continuous improvement in monitoring, alerting, automation, support processes, incident response, access management, data quality checks, and operational stability.

We'd love to hear from you if you have

  • At least 4years ofpractical experiencedevelopment and/orsupporting production data platforms, data pipelines, integrations, and operational data services using Snowflake, Databricks, Azure Data Factory, Azure Data Lake, SQL, and modern ELT/ETL patterns.

  • Hands-on experience troubleshooting Snowflake workloads, including SQL queries, warehouses, schemas, roles, permissions, performance, data loads, and operational failures.

  • Strong SQL skills with the ability to investigate data discrepancies, failed jobs, slow queries, access issues, and production incidents.

  • Experience working with monitoring, alerting, logging, job scheduling, data quality checks, and operational dashboards for data platforms and pipelines.

  • Good understanding ofsupportpractices including incident management, request fulfilment, change support, problem management, root cause analysis, escalation, and knowledge management.

  • Working knowledge of Python, PySpark, scripting, Git, CI/CD concepts, and automation practices sufficient to troubleshoot and support production data solutions.

  • Awareness of how AI can be used responsibly to improve data support activities, including ticket triage, log analysis, anomaly detection, documentation, and operational knowledge discovery.

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

  • Excellent communication skills, strong ownership, customer focus, analytical troubleshooting ability, attention to detail, and a proactive team-oriented mindset.

At Finning, we prioritize creating a diverse and inclusive environment. We are proud to be an equal opportunity employer, and we actively encourage all individuals to express themselves and achieve their full potential. As a company, we continuously strive to enhance our outreach to individuals of all backgrounds and identities. We do notdiscriminate against applicants based on gender identity, race, national and ethnic origin, religion, age, sexual orientation, marital and family status, and/or mental or physical disabilities.Furthermore, Finning is committed to collaborating with and providing reasonable accommodations /adjustments to individuals with disabilities. If you require an adjustment/accommodation at any point during the recruitment process, please inform your recruiter.

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