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Data Recovery Jobs in Edmonton, AB (NOW HIRING)

Data is deeply embedded in the product, engineering, analytics, and operational culture at Finning ... Create and maintain support documentation, runbooks, knowledge articles, recovery procedures ...

... monitor recovery rates, outstanding core liabilities, financial exposure, and overall performance of Caterpillar core returns * Lead development of planning tools, automation solutions, data ...

Description Transform TELUS's bad debt recovery - lead the charge on AR excellence and drive ... Agency performance review and data-driven collection strategy optimization * Skilled negotiator ...

Senior Trade Compliance Specialist

Edmonton, AB ยท Hybrid

CA$90K - CA$100K/yr

Analyze sales and partlevel data to ensure recovery claims are auditready * Quantify financial impact and clearly communicate duty savings opportunities to the business Operational Escalation & Risk ...

... recovery. * Oversee the development and continuous improvement of incident response playbooks ... Data Protection, Classification & DLP * Support the implementation and maturity of the Firm's data ...

... recovery strategy. * Own and evolve platform automation, including Infrastructure as Code ... Collaborate with data engineers, data scientists, and other stakeholders to support their workflows ...

Responsible for leading site performance improvements based on data trends. * Responsible for ... This position is jointly responsible for account recovery strategy and Performance Improvement ...

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Data Recovery information

See Edmonton, AB salary details

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How much do data recovery jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for data recovery in Edmonton, AB is $26.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $39.66 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Recovery position, and why are they important?

To thrive in Data Recovery, you need expertise in data storage systems, file structures, and troubleshooting techniques, often supported by a degree in information technology or a related field. Familiarity with industry-standard recovery tools such as EnCase, R-Studio, and forensic software, along with relevant certifications like Certified Data Recovery Professional (CDRP), is highly valued. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for diagnosing problems and interacting with clients. These competencies are vital for successfully retrieving lost data, maintaining data integrity, and ensuring customer satisfaction under often time-sensitive conditions.

How to become a data recovery?

To become a data recovery specialist, you typically need a background in computer science, information technology, or a related field, along with knowledge of file systems, data storage devices, and recovery software. Gaining experience with tools like disk imaging and data recovery software, and obtaining certifications such as Certified Data Recovery Professional (CDRP), can improve job prospects. Strong problem-solving skills and attention to detail are essential in this field.

What is the highest paying job in data?

In data recovery, senior roles such as Data Recovery Manager or Lead Engineer tend to have the highest salaries, often exceeding $100,000 annually. These positions require advanced technical skills, certifications, and experience in data storage systems, recovery tools, and troubleshooting complex hardware or software issues.

What are the most common challenges faced in a Data Recovery role?

Professionals in Data Recovery often encounter challenges such as working with severely damaged hardware, complex data loss scenarios, or dealing with encryption and proprietary file systems. These situations require both technical proficiency and creative problem-solving to recover as much data as possible without compromising its integrity. Additionally, managing client expectations and clearly communicating recovery outcomes are important aspects of the job. Team members may collaborate with IT support staff, security professionals, or legal teams to address various cases. These challenges make the work dynamic and rewarding for those who enjoy solving technical puzzles and providing critical support to clients.

How much do SpaceX recovery technicians make?

SpaceX recovery technicians typically earn between $50,000 and $80,000 annually, depending on experience and location. The role involves working with aerospace equipment, often requiring technical skills and safety certifications, and may include shift work or on-call duties.

What is the salary of data recovery software?

Data recovery software is a tool used by professionals in the data recovery field, not a job title. Salaries for data recovery specialists or technicians typically range from $40,000 to $70,000 annually, depending on experience, certifications, and location. Proficiency with data recovery tools and understanding of file systems are important skills in this role.

What is a Data Recovery job?

A Data Recovery job involves retrieving lost, corrupted, or inaccessible data from storage devices like hard drives, SSDs, USB drives, and memory cards. Professionals in this field use specialized software and hardware tools to recover files that may have been deleted, damaged, or lost due to system failures, malware, or physical damage. They also assess storage media, implement recovery strategies, and ensure data integrity. Many data recovery specialists work for IT services, forensic teams, or businesses that require critical data restoration.

What are popular job titles related to Data Recovery jobs in Edmonton, AB? For Data Recovery jobs in Edmonton, AB, the most frequently searched job titles are:
What job categories do people searching Data Recovery jobs in Edmonton, AB look for? The top searched job categories for Data Recovery jobs in Edmonton, AB are:
What cities near Edmonton, AB are hiring for Data Recovery jobs? Cities near Edmonton, AB with the most Data Recovery job openings:
Infographic showing various Data Recovery job openings in Edmonton, AB as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $55,744 per year, or $26.8 per hour.

Data Engineer II

Finning

Edmonton, AB โ€ข Hybrid

Full-time

Re-posted 2 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.