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Associate Data Engineer Jobs in Maple, ON (NOW HIRING)

Data Engineering Specialist

Toronto, ON ยท Hybrid

CA$84K - CA$115K/yr

Data engineering certification (e.g., Databricks Certified Data Engineering Associate or Professional). * Prior experience in fintech, capital markets, or a regulated data environment. This position ...

Senior Manager - Data Engineering

Toronto, ON ยท On-site +1

CA$120K - CA$160K/yr

Associate Director of Data & Insights These are some of the key components to the position: * Own ... Partner with the Lead Data Engineer on system design of our application databases and services ...

Quality Engineer III

Toronto, ON ยท Remote

CA$96K - CA$136K/yr

Azure Data Engineer Associate * Microsoft Certified: Azure DevOps Engineer Expert * Databricks Certified Data Engineer Technical Expertise: * Strong experience in test automation for cloud data ...

(CAN) Manager, Data Analytics (IC)

Mississauga, ON ยท On-site

CA$91K - CA$126K/yr

The Manager, Data Analyst supports the Canadian Technology Data Engineering team by delivering ... Demonstrates and encourages respect for others; drives a positive associate and customer experience ...

Azure AI Engineer Associate. * Azure Administrator Associate. * Azure DevOps Engineer Expert. * Proficiency in the design and implementation of modern data integrations models and concepts in ...

AI Engineer

Concord, ON

CA$110K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

AI Engineer

Markham, ON

CA$110K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

Associate AI Engineer

Toronto, ON ยท Hybrid

CA$60K - CA$80K/yr

  • Medical

  • Dental

  • Vision

About ShyftLabs At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 ... The Opportunity ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing ...

Role Summary Reporting to the Director, AI Strategy and Data Platforms, as the Associate Director ... Qualifications * 7+ years of progressive experience in data engineering, data architecture, or data ...

Showing results 21-40

Associate Data Engineer information

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What cities near Maple, ON are hiring for Associate Data Engineer jobs?

Cities near Maple, ON with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Maple, ON as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

Senior Security Data Solution Architect

Fusemachines

Toronto, ON โ€ข On-site

Full-time

Posted 10 days ago


Job description

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 400 employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

Remote (US or Canada)

Seeking a hands-on Senior Security Data Solution Architect with 7+ years of experience designing and implementing large-scale security data and analytics solutions within the financial services industry. The ideal candidate possesses deep security domain fluency, expertise in ingesting, normalizing, and standardizing security telemetry and SIEM logging, and a strong understanding of Databricks alongside Snowflake on AWS. Must have proven experience in data architecture leadership, business continuity, disaster recovery, high availability, and modern AI/agentic integration capabilities.

Responsibilities:

  • Architect end-to-end security data solutions on AWS, utilizing Databricks and Snowflake to integrate, normalize, and standardize disparate security telemetry and SIEM logs.  
  • Translate functional and non-functional security requirements into scalable data models, low-level designs, and standardized architectural artifacts.  
  • Provide technical leadership to build queryable, sustainable data storage layers that move away from BI-heavy dependencies and answer critical operational and risk metrics for the security leadership team.  
  • Guide and mentor data engineers and analysts on data modeling, pipeline development, and data architecture best practices.  
  • Design data governance solutions including metadata management, data cataloging, quality framework enforcement, and lineage tracking across security domain datasets.  
  • Evaluate and integrate AI/ML services and natural language interrogation layers (such as LLMs and agentic development tools) to streamline security incident analysis and bespoke data queries.  
  • Design highly available, scalable, and resilient data solutions, including disaster recovery and business continuity plans.  
  • Collaborate with cross-functional security, risk, and product management teams in an Agile environment. 

Qualifications:

  • Bachelor's degree in Computer Science, Information Security, or a related field.  
  • 7+ years of data architecture and hands-on engineering experience with a strong focus on security datasets and risk analytics in the financial industry.  
  • Deep expertise in security telemetry normalization, data integration, and SIEM (Security Information and Event Management) logging platforms.  
  • Hands-on experience with Databricks and Snowflake architectures, PySpark/Spark, SQL, data lakes/lakehouses, ELT/ETL pipelines, and stream processing tools (e.g., Kafka).  
  • Strong practical understanding of AWS cloud infrastructure and security tools.  
  • Familiarity with AI/ML services, LLMs, and agentic workflows for automated analytics.  
  • Strong understanding of SDLC, Agile methodology, and DevOps/DataOps principles.  
  • Excellent communication and leadership skills with the ability to translate technical security requirements into strategic data architectures. 

Preferred Certifications: 

  • Databricks Certifications: Databricks Certified Data Engineer Professional or Databricks Certified Solutions Architect.  
  • Snowflake Certifications: SnowPro Core or SnowPro Advanced Architect.  
  • Cloud Certifications: AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect – Professional.  
  • Security Certifications: Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or CompTIA Security+. 

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.


 

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