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Reliability Engineer Jobs in Calgary, AB (NOW HIRING)

Monitor, troubleshoot, and optimize data infrastructure to ensure high performance, reliability ... Work closely with software engineers, data analysts, and data scientists to understand their data ...

A strong emphasis is placed on continuous product improvement,optimizingfor performance, reliability, and manufacturability. Ideal candidatespossessa solid mechanical engineering background, hands-on ...

Lead automation scopes for capital, maintenance, modernization, and reliability initiatives from ... Bachelor's degree in Engineering, preferably Electrical, Computer, Automation, Instrumentation ...

Job Title: Sr Compliance Engineer Job Level: ENG D Date Posted: July 29, 2026 Closing Date: August ... Develop and maintain an understanding of compliance with Alberta Reliability Standards, ISO Rules ...

The successful candidate will apply strong analytical skills and engineering judgement to maintain system reliability and facilitate positive customer outcomes. Responsibilities: * Conduct Root Cause ...

We deliver engineered solutions that enhance operational awareness, safety, reliability and efficiency to deliver the lowest total cost of ownership. Thermon offers over 250 products, software and ...

We deliver engineered solutions that enhance operational awareness, safety, reliability and efficiency to deliver the lowest total cost of ownership.Thermon offers over 250 products, software and ...

This role promotes "right-sized" engineering design and operational reliability through process engineering design principles and expertise. The ideal candidate is a pragmatic problem solver who ...

Provide innovative solutions for system reliability, safety and efficiency improvements. * Perform ... Engineer-In-Training (EIT) or Professional Engineer (PEng.) with the Association of Professional ...

The successful candidate will leverage their expertise in electrical engineering to deliver innovative, cost-effective, and practical solutions that enhance the performance, reliability, and safety ...

You have improved system reliability, safety, and maintainability through thoughtful design and troubleshooting * You have become a core contributor to Ayrton's engineering culture and product ...

You have improved system reliability, safety, and maintainability through thoughtful design and troubleshooting * You have become a core contributor to Ayrton's engineering culture and product ...

Showing results 41-60

Reliability Engineer information

See Calgary, AB salary details

$57.5K

$102.7K

$156.5K

How much do reliability engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for reliability engineer in Calgary, AB is $102,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a reliability engineer?

Reliability Engineers are professionals responsible for ensuring that systems, equipment, or processes function consistently and efficiently over time. They analyze data, identify potential points of failure, and develop maintenance strategies to improve system reliability and minimize downtime. Their work spans various industries, including manufacturing, energy, and technology, and often involves collaborating with design, operations, and maintenance teams. By implementing reliability-centered maintenance and predictive analysis, they help organizations save costs and increase safety.

What does a reliability engineer do?

As a reliability engineer, your duties are to test and evaluate the manufacturing of products and components and ensure that the procedures are efficient and do not lead to abnormally high maintenance or operational costs. Your other responsibilities are to find solutions to product reliability risks. You may manage risk in a supply chain, develop loss prevention strategies, and track the entire lifecycle of product development, from building prototypes to moving a product into full-scale production. You analyze information from department heads and recommend strategies to reduce risk and ensure that the product works reliably.

What are the key skills and qualifications needed to thrive as a reliability engineer, and why are they important?

To thrive as a Reliability Engineer, you need a solid background in engineering principles, failure analysis, and reliability modeling, typically with a degree in engineering or a related field. Familiarity with tools such as FMEA, Root Cause Analysis (RCA), reliability-centered maintenance (RCM) software, and certifications like Certified Reliability Engineer (CRE) are highly valued. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills in this role. These skills ensure systems are dependable, downtime is minimized, and organizational performance and safety are optimized.

What are some typical challenges reliability engineers face when implementing preventive maintenance strategies?

Reliability Engineers often encounter challenges such as balancing preventive maintenance schedules with production demands, ensuring buy-in from operations teams, and accurately predicting equipment failures. They must analyze large sets of historical data to identify trends and root causes, which can be complex in facilities with diverse machinery. Collaboration with maintenance, operations, and engineering teams is essential to develop effective strategies that minimize downtime while optimizing resources.

What is the difference between Reliability Engineer vs Maintenance Engineer?

AspectReliability EngineerMaintenance Engineer
CredentialsTypically requires engineering degree, certifications in reliability or asset managementOften requires engineering or technical diploma, certifications in maintenance or equipment repair
Work EnvironmentFocuses on analysis, design, and improvement of systems for reliabilityHands-on maintenance, repair, and troubleshooting of equipment
Industry UsageCommon in manufacturing, energy, aerospace, and industrial sectorsPrevalent in manufacturing, facilities, and industrial plants

Reliability Engineers focus on designing and improving systems to prevent failures, using data analysis and modeling. Maintenance Engineers perform hands-on repairs and upkeep of equipment to ensure operational continuity. While both roles aim to optimize equipment performance, Reliability Engineers work proactively on system reliability, whereas Maintenance Engineers handle reactive and scheduled maintenance tasks.

Are reliability engineers in demand?

Reliability engineers are in high demand across industries such as manufacturing, energy, and aerospace due to their role in improving system performance and reducing downtime. Employers seek professionals with skills in data analysis, failure modes, and maintenance strategies, often requiring certifications like Certified Reliability Engineer (CRE). The job outlook is positive, with steady growth expected as companies prioritize operational efficiency and risk management.

How much do reliability engineers get paid?

Reliability engineers typically earn a median annual salary ranging from $70,000 to $110,000, depending on experience, location, and industry. Senior or specialized reliability engineers with certifications and advanced skills can earn higher salaries, often exceeding $120,000 annually.

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

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

What are popular job titles related to Reliability Engineer jobs in Calgary, AB?

For Reliability Engineer jobs in Calgary, AB, the most frequently searched job titles are:

What job categories do people searching Reliability Engineer jobs in Calgary, AB look for?

The top searched job categories for Reliability Engineer jobs in Calgary, AB are:

Infographic showing various Reliability Engineer job openings in Calgary, AB as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $102,704 per year, or $49.4 per hour.

Full-time

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Re-posted 13 days ago


Job description

Position Overview

We are looking for an experienced and versatile Data Engineer to join our dynamic and fast-growing team. If you are passionate about data, solving complex problems, and working directly with enterprise stakeholders to translate business needs into scalable technical solutions, this role could be the perfect fit.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses across various industries by focusing on creating value through innovation.

In addition to strong technical expertise, we are seeking someone with strong business awareness and the ability to lead client and stakeholder communication. The ideal candidate will be comfortable collaborating with enterprise-level clients, translating complex technical concepts into business outcomes, and ensuring alignment between engineering execution and strategic objectives.

Job Responsibilities
  • Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.

  • Architect and implement robust data infrastructure capable of handling high-volume data ingestion and processing.

  • Develop and manage our central data warehouse in Google BigQuery.

  • Design and implement data models, schemas, and table structures optimized for performance, scalability, and long-term maintainability.

  • Write clean, efficient, and maintainable SQL and Python code to transform raw data into curated, analysis-ready datasets.

  • Build reliable transformation workflows that support analytics, reporting, and data science initiatives.

  • Monitor, troubleshoot, and optimize data infrastructure to ensure high performance, reliability, and cost efficiency.

  • Implement BigQuery best practices, including partitioning, clustering, query optimization, and materialized views.

  • Build and maintain curated data models that serve as the "source of truth" for business intelligence and reporting.

  • Ensure data is optimized and readily accessible for BI tools such as Looker and other analytics platforms.

  • Implement automated data quality checks, validation rules, and monitoring frameworks to ensure the integrity and reliability of data pipelines and warehouse systems.

  • Establish processes for data governance, observability, and lineage tracking.

  • Work closely with software engineers, data analysts, and data scientists to understand their data requirements and provide the necessary infrastructure and data products.

  • Lead and support client and stakeholder communication, working with enterprise clients to translate business needs into scalable data solutions.

  • Partner with product teams and leadership to ensure that technical data solutions align with business strategy and client expectations.

  • Take ownership of data platforms and architecture decisions, helping shape the future direction of our analytics and data infrastructure.

  • Identify opportunities to improve data reliability, automate workflows, and generate new insights through data.

  • Contribute to a collaborative, high-performing engineering culture with strong communication and teamwork.

Basic Qualifications
  • 5+ years of hands-on experience in data engineering, data integration, or data platform development.

  • Degree in Computer Science, Engineering, Mathematics, or related STEM discipline.

  • Strong programming and query skills in SQL and Python.

  • Experience working with distributed version control systems such as Git in an Agile/Scrum environment.

  • Experience designing and orchestrating ETL pipelines, particularly with Databricks.

  • Experience working within cloud environments (GCP, AWS, or Azure).

  • Experience with database systems such as MongoDB and Elasticsearch.

  • Strong understanding of data warehousing and dimensional modeling methodologies.

  • Hands-on experience with Airflow and Hadoop.

  • Experience using Docker for containerized workflows and reproducible environments.

  • Ability to identify opportunities to improve data quality, reliability, and automation.

  • Strong business awareness and communication skills, with the ability to collaborate with both technical teams and business stakeholders.

  • Experience within the retail industry is a plus.

Preferred Qualifications
  • Master's degree in Computer Science, Engineering, or related discipline.

  • Experience working with enterprise-scale data platforms and Fortune 500 clients.

  • Familiarity with Druid and its Python API, including Kafka integrations.

  • Strong experience using Apache Spark for large-scale data processing.

  • Experience designing real-time streaming data architectures.

  • Experience working with AI-driven platforms, data infrastructure supporting AI/ML systems, or agentic AI workflows

Why You'll Love Working at ShyftLabs
 
At ShyftLabs, your work matters. We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us.
 
Here's what you can expect when you join our team:
-Work Arrangement: This role is currently fully remote, providing flexibility to work from home. As the team and organization continue to grow, there may be an opportunity for the role to transition into a hybrid work model in the future, with occasional in-office collaboration.
-Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.
-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
 
Inclusion at ShyftLabs
 
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
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