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 SQL databases.
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 4 years of practical experience development and/or supporting 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 of support practices 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 not discriminate 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.
Skills Required
- Minimum 4 years practical experience developing or supporting production data platforms, pipelines, integrations using Snowflake, Databricks, Azure Data Factory, Azure Data Lake, and SQL
- Hands-on experience troubleshooting Snowflake workloads (queries, warehouses, schemas, roles, performance, data loads)
- Strong SQL skills for investigating data discrepancies, failed jobs, slow queries, and access issues
- Experience with monitoring, alerting, logging, job scheduling, data quality checks, and operational dashboards
- Working knowledge of Python, PySpark, scripting, Git, CI/CD concepts, and automation practices
- Understanding of support practices: incident management, request fulfilment, change support, problem management, RCA, escalation, knowledge management
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent practical experience
- Awareness of responsible use of AI-assisted tools for support activities (log analysis, ticket triage, documentation, anomaly detection)
- Excellent communication, ownership, customer focus, analytical troubleshooting ability, attention to detail, and team-oriented mindset
What We Do
Finning is the world's largest Caterpillar dealer delivering unrivalled service for over 90 years. We sell, rent and provide parts and service for equipment and engines to customers in various industries, including mining, construction, petroleum, forestry and a wide range of power systems applications. Since 1933, when Finning was first established in Canada by Earl B. Finning, our name has conveyed integrity, reliability and resourcefulness. Over the years, the company has grown as a result of a genuine commitment to earning customer loyalty. With our broad product support infrastructure and unmatched service capabilities, we deliver solutions that enable customers to achieve the lowest equipment owning and operating costs while maximizing uptime. Finning employs over 13,000 people world-wide and operates in three geographies, with the head office in Vancouver, Canada.
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