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Added 9 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 9 days ago
SE
Senior Software Engineer II
Schneider Electric
Calgary, AB
- $114,750 to $162,000 CAD / year
- Part-time
Strong programming skills in Python and/or Java, with experience writing maintainable, well-tested, production-quality code.
Added 9 days ago
M
Senior AI Full Stack Developer (Healthcare - SaaS)
MEDFAR
Montreal, QC
- Full-time
As a Full Stack Developer, you will be part of the AI Platform team, whose goal is to build and evolve the key features that support real-world healthcare workflows. This team works closely…
Added 9 days ago
BR
AI Solutions Architect
Benchmark Recruitment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
The Senior AI Solutions Architect will provide architectural leadership and technical direction for a portfolio of AI-native application development and modernization initiatives. This is a…
Added 9 days ago
AI Data Scientist
Conga
Canada
Expert-level Python with extensive use of Hugging Face Transformers, spaCy, NLTK, Sentence Transformers, PyTorch, and TensorFlow.
Added 9 days ago
SL
Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Waterloo King
- Full-time
We are currently looking for a Senior Data Engineer - with a passion for turning disparate streams of data into organized and actionable analytics services and insights. As a Data Engineer…
Added 9 days ago
I-
DataOps/Cloud Data Engineer - Senior
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
Proficient in creating Azure Data Factory pipelines for copy activity and custom data pipelines in Databricks with CI CD (Azure DevOPS Git Integration) .
Added 9 days ago
A
Data Engineer Snowflake
Augmented
Toronto, ON
- Full-time
You will join a small, senior delivery team that works directly with client stakeholders. The work spans greenfield builds and migrations, with a strong focus on data quality, governance…
Added 9 days ago
DG
Sr. Software Developer I
Dahrouge Geological Consulting Ltd.
AB · Edmonton, AB
- Full-time
The Senior Software Developer I works directly with the lead developer to rebuild and harden our SaaS products to ensure they are secure, observable and easy to build on. The role helps set…
Added 9 days ago
Senior Software Engineer II, Investors
Carta
Toronto, ON · Waterloo, ON
The Tech Stack: You have experience with (or a desire to learn) our core technologies: Python, Django, React, Postgres, and Kafka. We also utilize Java, gRPC, and AWS.
Added 9 days ago
O
Sr. IT Software Developer
OpenText
Waterloo, ON
- Full-time
As a Sr. IT Software Developer (Digital Fullstack), you will independently deliver full-stack and platform capabilities for OpenText's digital experience ecosystem. You will work across…
Added 9 days ago
Senior Software Test Engineer
Coursera
Toronto, ON
Experience with Cloud platforms such as AWS, Azure, or GCP
Added 9 days ago
I
Devops AI Developer
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Part-time
…Innovation & Architecture (EIA). The team consists of junior and senior developers, a Scrum Master, and technical leadership working closely with AI and Operations teams. The group owns,…
Added 9 days ago
PH
Senior Network Operations Specialist, Elevare Health
Providence Healthcare
Vancouver, BC
- Full-time
Experience with programming in Python required.
Added 9 days ago
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Senior NLP Engineer
Behavox
Toronto, ON
- $170,000 to $230,000 CAD / year
Behavox is a high-performance organization with a strong bias toward delivery, ownership, and responsibility. We are building systems that are complex, mission-critical, and global in…
Added 9 days ago
UH
Postdoctoral Researcher
University Health Network
Toronto, ON
- Full-time
Mentorship from senior faculty with strong track records in Nature/Science-family publications and competitive grant funding
Added 9 days ago
M
RQ11486 - DataOps/Cloud Data Engineer - Senior
Maarut
Toronto, ON
- Contract
Experience with Cloud data platforms, data management and
Added 9 days ago
SI
Lead Analytics Engineer - Payments, Identity & Trust and Safety
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
…Scribd securely monetize and protect its products. It is the senior-most analytics engineering role for these pillars and a purely technical leadership position with no direct reports. You…
Added 9 days ago
SI
Lead Analytics Engineer, AI Native Self Service Analytics
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Your impact will come through technical leadership. Your strong strategic judgment is paired with enough proximity to the work to guide technical decisions credibly. You will connect…
Added 9 days ago
NT
Senior MLOps Engineer
Nöord Technologies
Montréal-Est, QC
- Full-time
API Development & Python Engineering: Design and develop REST and MCP APIs, alongside senior-level Python development across the full data and ML stack.
Added 9 days ago
B
Senior Software Developer
BlueCat
Toronto, ON
- Full-time
Build with modern, asynchronous Python and Golang, and use other languages where they fit.
Added 9 days ago
T
AI / ML Product Engineer
TD
Toronto, ON
- Full-time
Practical Python skills and experience with at least one LLM framework (such as LangChain, LlamaIndex or Semantic Kernel) or agent framework.
Added 9 days ago
LM
Associate Software Developer (Node.js & Python)
Liberty Mutual Canada
Toronto, ON
- $65,000 to $75,000 CAD / year
- Full-time
We are seeking a motivated Associate Developer to join the Mighty Moose team, focused on API integrations and LLM-powered applications. Working under the guidance of senior developers, you…
Added 9 days ago
A
Python AI Engineer (LOCAL to Quebec only)
Apptad
Montreal, QC
- Contract
We are seeking a Senior AI Agent Engineer (around 6 to 8 years of experience) to design, develop, and deploy enterprise-grade AI agents and multi-agent systems using modern agentic AI…
Added 9 days ago
TI
Senior DataOps / Cloud Data Engineer
Teckhorizon Inc
Toronto, ON
- Contract
The client is seeking a highly experienced Senior DataOps / Cloud Data Engineer to design, develop, automate, optimize, and maintain enterprise-scale data pipelines and cloud-based data…

Scribd, Inc.

Lead Analytics Engineer, AI Native Self Service Analytics

Toronto, ON, Canada
Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Experience: 10/8+ years of experience in analytics engineering, data engineering, business intelligence engineering or a related discipline
Posting language: English
Posted: Oct 16, 2026

Original job description

Scribd, Inc. is on a mission to advance human understanding. Our four products - Scribd®, Slideshare®, Everand™, and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise.

Culture at Scribd, Inc.

We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.

We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.

So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.

This posting reflects an approved, open position within the organization.

The Team

Data & Analytics is building the DNA of an AI native Scribd, Inc. Bringing together Analytics Engineering, Data Science, and Data Analytics, D&A partners across product, technology, content, and the business to scale intelligence, advance understanding, shape strategy, and turn insight into lasting growth across our four brand portfolio.

Making this ambition real at scale starts with Analytics Engineering. The team transforms fragmented data, inconsistent definitions, and dispersed analytical knowledge into trusted, reusable, production quality data foundations and products that enable intelligence to scale across the company.

In partnership with Engineering, Analytics Engineers ensure critical data is captured, centralized, documented, secured, and governed. The team builds canonical datasets, shared metrics, and semantic layers, together with the quality, observability, lineage, and evaluation systems that make these assets trustworthy. On top of this foundation, Analytics Engineers develop AI agents and analytical tools that bring reliable intelligence directly into the decisions and workflows of teams across the company.

The Role

We’re hiring for a Principal/Lead Analytics Engineer to scale data for an AI native Scribd, Inc. In this role, you will shape the technical foundations, modeling standards, and development practices that allow Analytics Engineering to move faster with greater confidence. You will operate as a senior individual contributor, deeply connected to the work, trusted for your judgment, and able to raise the quality of systems, decisions, and execution across teams.

Your impact will come through technical leadership. Your strong strategic judgment is paired with enough proximity to the work to guide technical decisions credibly. You will connect Analytics Engineering investments to company priorities, communicate tradeoffs clearly to senior leaders, and contribute thoughtfully to decisions about data modeling, architecture, governance, quality, tooling, and developer experience.

Your pragmatic approach keeps the organization moving forward. Rather than waiting for an ideal end state, you will think in sequences and ask, “What is the right next version?” Communication happens early and often because transparency, thoughtful feedback, and visible decision making build trust and help teams move with confidence.

The transformation happening through AI is an opportunity to expand what talented teams can accomplish. Agentic coding, AI assisted development and analysis, and automated workflows can increase human judgment, creativity, and impact rather than replace them. You approach these technologies with curiosity and pragmatism, applying them where they create clear and measurable value.

Above all, this role is about strengthening the discipline of Analytics Engineering. Success is reflected in data systems that are more reliable, understandable, scalable, and useful, and in teams that become more capable because of your technical leadership.

The Essentials

10/8+ years of experience in analytics engineering, data engineering, business intelligence engineering or a related discipline
Depth in building governed, canonical data models and semantic layers, giving core business concepts one authoritative, discoverable definition instead of letting teams reconcile competing sources
Experience designing the data quality, observability, documentation, governance, access control, privacy, lineage, and evaluation systems that ensure data and AI products are reliable, explainable, trustworthy, and safe to operate at scale
Experience designing and building canonical data models and semantic layers that support self-serve analytics at scale for Finance, Legal, Operations, Marketing, Research, and other business teams.
Advanced SQL skills and production experience with modern data stack, including AWS, Databricks, Airbyte, Fivetran, Looker, or comparable platforms
Demonstrated ability to lead cross functional data initiatives from strategy through production adoption and measurable business impact
Strong judgment in balancing immediate stakeholder needs with long term investments in reusable data products, platform health, and technical debt reduction
Excellent written and verbal communication with technical teams, business stakeholders, and senior executives

The Nice to Haves

Advanced Python
Experience leading data cleanup efforts and implementing role based access controls and data retention policies to improve data quality, security, and governance
Experience leading on call rotations, coordinating incident response, resolving production issues, and driving follow up improvements that strengthen system reliability

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At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.

In the state of California, the reasonably expected salary range is between $179,000 [minimum salary in our lowest geographic market within California] to $253,500 [maximum salary in our highest geographic market within California].

In the United States, outside of California, the reasonably expected salary range is between $149,000 [minimum salary in our lowest US geographic market outside of California] to $240,500 [maximum salary in our highest US geographic market outside of California].

In Canada, the reasonably expected salary range is between $178,000 CAD[minimum salary in our lowest geographic market] to $227,000 CAD[maximum salary in our highest geographic market].

We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Working at Scribd, Inc.

Are you currently based in a location where Scribd, Inc. can employ you?
Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:

United States:

Canada:

Ottawa | Toronto | Vancouver

Mexico:

Mexico City

Benefits at Scribd, Inc.

Scribd Flex (flexible work model)
Comprehensive health, dental, and vision coverage
Mental health support and disability coverage
Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
Paid parental leave and family support benefits
Retirement matching and employee equity
Learning and development programs and professional growth opportunities
Wellness and home office stipends
Complimentary access to the Scribd, Inc. suite of products
Enterprise access to leading AI tools

Get to Know Scribd, Inc.
About Scribd, Inc.
Life at Scribd, Inc.

We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.

If you apply for a job with Scribd, Inc. or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here.

Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

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More about this job

Responsibilities

Provide senior technical leadership for Analytics Engineering, shaping data foundations, modeling standards, architecture, governance, quality, tooling, and developer experience. Build trusted canonical datasets, semantic layers, and AI-enabled analytical tools that support self-service analytics and improve decision-making across the company.

Requirements

Requires 10 or more years of experience in analytics engineering, data engineering, business intelligence engineering, or a related field, with deep expertise in governed canonical data models, semantic layers, and reliable data systems. Candidates should have advanced SQL and modern data stack experience, a record of leading cross-functional initiatives through production adoption, strong technical judgment, and excellent communication skills; advanced Python and incident-response experience are preferred.

Skills

Analytics Engineering
Data Engineering
Advanced SQL
Python
Canonical Data Modeling
Semantic Layers
Data Governance
Data Quality
Data Observability
Data Lineage
Access Control
Privacy
AWS
Databricks
Airbyte
Fivetran

Benefits

Flexible Work Model
Health Insurance
Dental Insurance
Vision Insurance
Mental Health Support
Disability Coverage
Paid Time Off
Paid Holidays
Winter Break
Volunteer Time
Sabbaticals
Paid Parental Leave
Family Support Benefits
Retirement Matching
Employee Equity
Learning And Development Programs
Wellness Stipend
Home Office Stipend
Complimentary Product Access
Enterprise Access To AI Tools

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineering
Data Engineering
Business Intelligence
Data Science
Self-Service Analytics
Artificial Intelligence
AI Agents
Agentic Coding
AI-Assisted Development
Advanced SQL
Python
AWS
Databricks
Airbyte
Fivetran
Looker
Canonical Data Models
Semantic Layers
Data Governance
Data Quality
Data Observability
Data Documentation
Access Control
Privacy
Data Lineage
Data Evaluation
Role-Based Access Control
Data Retention
Incident Response
Production Reliability

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