Markham, On Python full stack data engineer Jobs – 110 Openings This Week

Associate Analytics Engineer
CircleCI —Toronto, ON
- $100,000–$125,250 a year
- On call
- Remote
- SQL
- AI
- Python
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7h
Senior Full Stack Engineer
Codal —Toronto, ON
- $110,000–$125,000 a year
- Azure
- DevOps
- AWS
- Dental care
- Vision care
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DevOps Developer
Caseware —Toronto, ON
- $125,000–$140,000 a year
- Full-time
- Hybrid work
- DevOps
- Java
- AWS
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Senior Software Engineer, Machine Learning
hive.co —Toronto, ON
- Full-time
- Remote
- Software development
- AI
- Communication skills
- Dental care
- Paid time off
7d
Senior Full Stack Developer
CoLab Software —Toronto, ON
- Full-time
- Remote
- Java
- JavaScript
- APIs
Quick apply
Senior AI and Agentic Developer
Accenture —Toronto, ON
- $69,450–$119,450 a year
- Full-time
- Hybrid work
- English
- Java
- Bachelor's
Senior Full Stack Software Engineer
Manulife —Toronto, ON
- $113,000–$163,000 a year
- Full-time
- Azure
- Java
- Software development
- Disability insurance
- Dental care
Staff Software Engineer, Fullstack
Fivetran —Toronto, ON
- $167,548–$209,435 a year
- Full-time
- Hybrid work
- Azure
- Java
- AWS
- Paid time off
- Paid sick leave
Quick apply
Senior Data Engineer
Relay —Toronto, ON
- $144,000–$176,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Senior Software Engineer - Content Platforms Engineering
Tubi - Canada —Toronto, ON
- $116,000–$196,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Databases
- Paid time off
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Azure Engineer
Tata Consultancy Services —Toronto, ON
- Azure
- Writing skills
- Databases
Principal Software Engineer
TTEC Digital —Toronto, ON
- Full-time
- Remote
- AI
- Python
- Analytics
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CCaaS Engineer
Accenture —Toronto, ON
- $69,450–$119,450 a year
- Full-time
- Salesforce
- English
- Java
8d
Senior Software Engineer, AI
Klue —Toronto, ON
- $140,000–$230,000 a year
- Full-time
- Hybrid work
- Azure
- Databases
- AWS
- Dental care
Senior DevOps Engineer
Kraft Heinz Company —Toronto, ON
- $118,600–$148,200 a year
- Azure
- DevOps
- Analysis skills
- Designated paid holidays
- Paid time off
Machine Learning Lead, Edge AI Inferencing
Blumind —Markham, ON
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Data Architect
Infostrux Solutions Inc —Toronto, ON
- $120,000–$170,000 a year
- Remote
- Azure
- Oracle
- Java
- Flexible schedule
Senior DevOps Engineer (Azure)
EPAM Systems, Inc. —Toronto, ON
- $105,000–$140,000 a year
- Computer science
- Azure
- Computer Science
- Employee stock purchase plan
- Disability insurance
Ultrasound Transducer R&D Engineer
Sonele Inc. —Markham, ON
- Full-time
- Engineering
- Laboratory experience
- Master's degree
Quick apply
Staff Back End Engineer (Applications)
Forma.ai —Toronto, ON
- Java
- Databases
- SQL
- Disability insurance
- Dental care
Quick apply

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Associate Analytics Engineer

CircleCI -
Toronto, ON

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Job details

$100,000–$125,250 a year
7 hours ago

Qualifications

Data modeling
SQL
Data management
AI
Python

Full job description

About Analytics Engineering at CircleCI

The Analytics Engineering team at CircleCI applies software engineering rigor to our data systems. We design the architecture, governance, and tooling that allows teams across the company to access and act on high-quality data. We define what data means, govern how it's used, and deliver it to the people, systems, and AI agents that depend on it. We're looking for someone who brings technical curiosity, attention to detail, and an entrepreneurial mindset and who wants to grow into a full-stack analytics engineer over time.

As an Associate Analytics Engineer at CircleCI, you will work alongside our Analytics Engineering team to help bridge the gap between our data platform engineers and the rest of the business. You'll contribute to delivering well-defined, transformed, tested, and documented data to business users and downstream systems, helping the company strategically use data to operate and grow.

Must be currently located in EST Timezone (Open to Remote, US EST OR Remote, Ontario, Canada.

What you'll do:

Build and maintain data models and pipelines that deliver well-defined, tested, and documented data to business users and downstream systems
Contribute to data quality standards, model documentation, and column-level lineage across our dbt projects
Support the team in pushing data into business operating systems and AI-powered workflows that help the company function and grow
Learn and apply best practices around source-of-truth models, metric definitions, and data grain under the guidance of senior engineers
Use AI to automate analytics engineering processes, reduce toil, and build net-new capabilities for the data organization
Partner with data platform engineers to help ensure pipelines and data models run reliably in production
Collaborate with business stakeholders to understand data needs and help translate them into governed, reusable data assets

What we're looking for:

Experience: 1–2 years as an analytics engineer, data analyst, or in a related technical role
dbt & SQL: Foundational SQL skills and some exposure to dbt or a modern data stack; a strong desire to develop deep expertise in both
AI fluency: Curiosity about using AI to move faster, automate processes, and build things that weren't previously possible
Technical skills: Some familiarity with Python and an eagerness to grow. Basic understanding of schema design and data pipeline concepts
Business judgment: Interest in understanding how data models serve real business decisions, and how to translate business needs into reliable data
Semantic precision: Care for writing clear, unambiguous definitions and documentation, for both human and AI consumers of data
Schedule: Must be able to work Eastern Time hours to support on-call coverage for our data systems

Soft skills and values:

Problem-solving: Curiosity, a bias toward action, and an entrepreneurial approach to building in ambiguous environments
Communication: Able to translate between technical and business audiences with clarity
Openness: Receptive to feedback, comfortable questioning assumptions, and resilient when priorities shift
Planning: Structured thinker who can balance learning fundamentals with near-term delivery

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About CircleCI

CircleCI is the world's largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster.

Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold
Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital.

CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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