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Remote Data Optimization Jobs in Ontario (NOW HIRING)

NTT DATA Services

AI Developer (REMOTE)

Toronto, ON · Remote

CA$84K - CA$146K/yr

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with ... Strong experience with prompt engineering, prompt tuning, and AI response optimization techniques.

Careers at Eucalyptus

Data Analyst, Canada

Toronto, ON · Remote

If you're optimizing for how fast you'll grow and how much you'll actually own, not just the number ... Strong communication skills, especially in a remote, cross-functional, and cross-border environment

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

... Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be ... Develop optimized, performant data pipelines and models at scale using technologies such as Python ...

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

... remote) Job Overview As an Azure and Databricks Data Engineer, you will be responsible for ... Develop optimized, performant data pipelines and models at scale using technologies such as Python ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Develop optimized, performant data pipelines and models at scale using technologies such as Python ...

Morson Talent

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... models optimized for KPI delivery, actionable feedback/writeback to operational systems and ...

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All JobsData Optimization JobsRemote Data Optimization JobsRemote Data Optimization Jobs in Ontario

Remote Data Optimization information

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are popular job titles related to Remote Data Optimization jobs in Ontario? For Remote Data Optimization jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Ontario look for? The top searched job categories for Remote Data Optimization jobs in Ontario are:
Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in Ontario as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Senior AEO/SEO Web Manager

Senior AEO/SEO Web Manager

Barracuda Networks Inc.

Kanata, ON • Remote

Full-time

Posted 29 days ago

Job description

Come join our passionate team! Barracuda is a leading cybersecurity company providing complete protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals and managed service providers worldwide trust us to protect and support them with solutions that are easy to buy, deploy, and use.
 
We are committed to a candidate selection process and work environment that is inclusive and barrier free. To ensure candidates are assessed in a fair and equitable manner, accommodations will be provided to prospective employees in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code.  
 
Envision yourself at Barracuda  
Barracuda Networks, Inc. is looking for a sharp, systems-minded specialist to work hands-on across AEO/GEO/SEO initiatives for Barracuda.com. In this role, you will drive measurable visibility, citations, and demand across both LLM-driven and traditional search experiences. You will be responsible for translating the rapidly changing generative search landscape into clear, actionable steps and directly executing optimizations within the CMS (AEM).
You will partner cross-functionally to improve owned assets so that search and generative engines can effectively understand, select, rank, and cite our content. Additionally, you will track and report on performance, identifying opportunities and continuously refining strategy based on results. We are open to considering candidates from other parts of the US, but the Eastern Standard time zone is preferred

What you’ll be working on
  • Drive the AEO/GEO/SEO strategy for Barracuda.com, auditing, prioritizing, and editing owned assets across product, solutions, glossary, comparison, and other high-value pages
  • Develop GEO/SEO optimization plans and deliver reporting and insights that clearly explain what changed, what worked, and what’s next
  • Identify cross-channel opportunities (content, PR, brand, paid) to strengthen generative and SEO visibility
  • Improve internal workflows, templates, and QA standards to scale optimization efforts
  • Interpret performance, build stakeholder buy-in, and help define strategy in an evolving GEO landscape
Strategy and Communication
  • Explain how LLMs work (retrieval, ranking/selection behaviors, grounding/citations, reasoning limits) in a clear, non-jargony way to drive team alignment and recommendations
  • Set and defend strategic direction: what to build, what to fix, what to measure, and why, with clear linkage to SEO/GEO KPIs
  • Operate as a trusted advisor by leading conversations, aligning stakeholders, and communicating wins and risks
Influence & Execution Using Owned Assets
  • Improve visibility of product, solution, and key site pages to close buyer journey gaps (use-case clarity, objections, proof, comparisons, FAQs, supporting entities)
  • Recommend and collaborate on structured data, taxonomy, internal linking, and content architecture to strengthen entity associations and retrieval-ready coverage
Measurement, Learning, and Adaptation
  • Track performance across SEO/GEO metrics (visibility, citation/carry-through, prompt coverage, conversion contribution) and translate into next actions
  • Monitor changes in Claude/ChatGPT behavior, AI Mode, and model updates, and adapt recommendations quickly
What you bring to the role
  • Strong understanding of modern search & LLM ecosystems: including how “answers” get formed and when citations appear
  • Solid technical SEO fundamentals: crawling/indexation, internal linking, structured data, canonicals
  • Strong proficiency using AI tools: ChatGPT, Profound, and agentic environments to accelerate research, mapping, and content systems while maintaining quality control
  • SEO tool mastery: SEMrush, GA4, ScreamingFrog, Adobe Target, PowerBi and Search Console for topical research, clustering and reporting
  • Demonstrated experience influencing outcomes through owned content/IA optimization
  • 3-4 years of experience in prior SEO roles at a senior level. Able to demonstrate GEO skills with concrete examples
What you’ll get from us
A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda. In addition, you will receive equity, in the form of non-qualifying options

The anticipated on-target earnings range for this role is 87,000 CAD - 116,000 CAD. Actual compensation offered will be dependent upon the individual's skills, experience, and qualifications as they directly relate to the requirements of the position, the budget for the position, and applicable employment laws. 


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JD: 27-0192(a)

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