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Fulltime Software Developer Jobs in Calgary, AB (NOW HIRING)

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 ...

We are currently seeking a highly motivated Civil Engineer EIT to join our team on a full-time ... Knowledge of the Microsoft office software suite of programs. * Strong interpersonal and ...

Machine Learning Engineer Calgary, AB, Canada Full-time Company Description Viridien is a global ... Strong skills in statistics and programming, as well as knowledge of data science and software ...

Employment Type: Full-time Permanent Location: Calgary, AB Division/Department: Engineering ... Must be computer literate and proficient in Microsoft Office suite, CAD software (AutoCAD and/or ...

Employment Type: Full-time Permanent Location: Calgary, AB Division/Department: Engineering ... Must be computer literate and proficient in Microsoft Office suite, CAD software (AutoCAD and/or ...

This position requires full-time onsite presence every day for close interaction with the ... Thermon offers over 250 products, software and services across multiple brands, providing a range ...

Mining Engineer

Calgary, AB

CA$90K - CA$140K/yr

... similar specialist software) and mine design, life-of-mine scheduling and Mineral Reserve ... Full-time, permanent role with opportunities for professional growth and advancement Qualifications ...

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Fulltime Software Developer information

What are the key skills and qualifications needed to thrive as a Fulltime Software Developer, and why are they important?

To thrive as a Fulltime Software Developer, you need proficiency in programming languages (such as Java, Python, or JavaScript), problem-solving abilities, and typically a degree in computer science or a related field. Familiarity with development frameworks, version control systems like Git, and experience with tools such as IDEs and CI/CD pipelines are commonly required. Strong communication, teamwork, and adaptability are crucial soft skills that help developers collaborate effectively and respond to changing project needs. These skills ensure high-quality, maintainable code and successful project delivery in dynamic development environments.

What is the difference between Fulltime Software Developer vs Part-time Software Developer?

AspectFulltime Software DeveloperPart-time Software Developer
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
Employment StatusFull-time employment with benefitsPart-time employment, often without full benefits
Project ScopeInvolved in ongoing, long-term projectsMay work on specific tasks or short-term projects
Salary & BenefitsSteady salary, health insurance, paid leaveHourly pay or fixed fee, limited or no benefits

Fulltime Software Developers work regular hours, often with benefits, focusing on long-term projects. Part-time Software Developers work fewer hours, usually on specific tasks, with limited benefits. The choice depends on your availability and career goals.

What are Fulltime Software Developers?

Fulltime Software Developers are professionals who design, build, test, and maintain software applications as their primary occupation. They work for companies or organizations on a standard full-time schedule, typically 40 hours per week. Their responsibilities can include writing code, troubleshooting issues, collaborating with other team members, and staying updated with new technologies. Fulltime roles often provide benefits such as health insurance, paid time off, and opportunities for career advancement.

What are some common challenges faced by fulltime software developers in agile teams, and how can they be addressed?

One common challenge for fulltime software developers working in agile teams is balancing the need for rapid iteration with maintaining high code quality. Developers often face tight deadlines for sprint deliverables, which can sometimes lead to technical debt if not carefully managed. Effective communication with team members, regular code reviews, and adopting automated testing practices can help mitigate these issues. Additionally, being proactive in sprint planning and retrospective meetings allows developers to voice concerns and collaboratively find solutions, making the work environment more supportive and productive.

Data Engineer II

Finning

Calgary, AB โ€ข Hybrid

Full-time

Posted 20 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.