Jobs in Canada

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Added 3 months ago
AM
AI and Automation Software Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Proficiency with one or more of the following languages: Python, C, C++ programming, JavaScript.
Added 3 months ago
AM
SoC Data Path Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are seeking an experienced SoC Data Path Engineer to lead validation and debug of AMD's next-generation on-chip fabric and data transport architectures. This role focuses on post-silicon…
Added 3 months ago
AM
DFT Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Experience with Perl/Python/Shell scripting, C++, SQL
Added 5 months ago
R
Staff Platform Engineer
Rivian
Vancouver, BC
- Full-time
As a Staff-level engineer, you must possess the coding proficiency to architect in-house platform tooling
Added 3 months ago
K
Manager, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 3 months ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 3 months ago
K
Senior Manager, SR&ED (Software Engineer)
KPMG
Vancouver, BC
- Full-time
…develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a…
Added 2 months ago
Sr. Engineer, SoC Design Verification Engineer, System Management Controller
Tenstorrent
Toronto, ON
Tenstorrent is seeking a SoC Design Verification Engineer to validate the System Management Controller (SMC) and enable seamless multi-chip integration. In this role, you will design and…
Added 2 months ago
S
AI Engineer
Sanofi
Toronto, ON
- Full-time
Strong software engineering and programming skills in Python or Java or other enterprise programming languages SQL/NoSQL query, familiarity with Spark, REST APIs, Golang, NodeJS, Angular,…
Added 2 months ago
F
Senior Frontend Engineer
Forma.ai
Toronto, ON
- Full-time
Familiarity with Python, Django, APIs, Postgres, or backend systems.
Added 2 months ago
S
Principal Consultant - Cybersecurity & Agentic AI
Synechron
Toronto, ON · Greater Toronto Area, Canada
- $130,000 to $145,000 CAD / year
- Full-time
As “Principal Consultant, Agentic AI Cybersecurity Engineer” Candidate will work hands-on alongside our cybersecurity engineering and application security teams to build, operate, and…
Added 2 months ago
VC
Senior Software Engineer (Golang, Python, Microservices)
VTRAC Consulting Corporation (WBE)
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $145,000 CAD / year
- Full-time
There is an exciting opportunity for a Senior Software Engineer to join a fast-growing technology company redefining enterprise energy management through intelligent, data-driven solutions.…
Added 2 months ago
UG
Chief Architect - Data Engineering (Databricks Practice)
Unison Group
Toronto, ON
- Full-time
Own end-to-end architecture and design decisions on Databricks engagements, ensuring solutions are secure, scalable, performant, and aligned with Lakehouse best practices
Added 2 months ago
PI
MLOps & Data Engineer
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
Palitronica is seeking an MLOps & Data Engineer to develop, maintain, and extend the Python framework and data foundation behind our production machine-learning systems. Models and…
Added 2 months ago
Z
Associate LLM Engineer (Forward Deployment)
ZS
Toronto, ON
- Full-time
We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development,. The ideal candidate will have strong experience…
Added 2 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring…
Added 2 months ago
II
Lead Analytics Engineer
Innodata Inc.
Canada
- $130,000 to $150,000 CAD / year
- Contract
We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader.…
Added 2 months ago
LR
Forward Deployed Software Engineer - AI & Operations
Lanart Rug
Montreal, QC
- $130,000 to $200,000 CAD / year
- Full-time
…consumer-products business. We are hiring a Forward Deployed Software Engineer who will sit directly with the people doing the work, understand messy operational problems, and ship…
Added 2 months ago
RS
Security Engineer
R Systems
Mississauga, ON
- Contract
As a Security Engineer at R Systems, you will play a key role in implementing, managing, and optimizing enterprise security technologies and controls. You will work closely with security…
Added 2 months ago
Z
Software Engineer, New Grad (2027 Start)
Zip
Remote, Canada
- Full-time
- Remote
As a New Grad Software Engineer you will be responsible for building Zip’s core products and architecture. You will ship features that will be immediately used by our customers, and will…
Added 2 months ago
CH
Senior Backend Engineer
Compass Holdings Canada Inc
Remote, Canada
- Full-time
- Remote
Develop clean, efficient code with tests ensuring code quality
Added 2 months ago
TT
Reliability Engineer
Teledyne Technologies Incorporated
Waterloo, ON · Canada - Waterloo, ON
- Full-time
The Reliability Engineer is responsible for applying Design for Reliability (DfR) principles throughout the product life cycle, from concept and design through qualification, manufacturing,…
Added 2 months ago
RB
AI-First Quality Engineering Lead
Royal Bank of Canada
Toronto, ON
- Full-time
- Proficiency in Python, Java, or .NET with demonstrated use of AI/LLM APIs (Anthropic, OpenAI, etc.) to build intelligent automation
Added 2 months ago
R
AI-First Quality Engineering Lead
RBC
Toronto, ON
- Full-time
- Proficiency in Python, Java, or .NET with demonstrated use of AI/LLM APIs (Anthropic, OpenAI, etc.) to build intelligent automation
Added 3 months ago
Z
Software Engineer Intern (Winter 2027)
Zip
Remote, Canada
- Internship
- Remote
As a Software Engineer Intern, you will be shown how to build Zip’s core products and architecture alongside our engineering team. You'll ship features our users rely on from day one,…

Innodata Inc.

Lead Analytics Engineer

Canada

$130,000 to $150,000 CAD / year · Contract

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Job details

Pay: $130,000 to $150,000 CAD / year
Job type: Contract
Posting language: English
Posted: Aug 20, 2026

Original job description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope Of The Role

We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader. This person will be the go-to analytics expert for advertiser revenue, monetization performance, and growth metrics - trusted by Data Scientists, Analysts, PMs, and Engineering leaders to drive high-impact work end-to-end.

This is a staff-level Individual Contributor role, not a mid-level execution seat. The successful candidate operates as:

A trusted thought partner to Data Scientists and Product leaders - someone who improves the quality of the question before answering it.
A technical leader who sets standards for data models, pipelines, and dashboards that others follow.
A force multiplier who unblocks the team by identifying and fixing root causes across the data stack, not just building what's asked.

What You’ll Own

50% - Analytics, Business Insights & Technical Leadership Partnering with Data Scientists and Product on the hardest analytics problems; driving metric definitions; reviewing others' analyses; setting standards for the team's analytics work.
30% - Data Engineering & Pipeline Ownership Architecting and owning production SQL pipelines, data models, and data cubes; designing and operating Airflow DAGs; setting the bar for data quality, reliability, and reconciliation across the domain.
20% - Data Visualization, Metric Governance & Enablement Owning executive-visibility dashboards in Tableau / Superset; defining and governing metrics; enabling self-serve analytics for the broader Monetization org.

Analytics Leadership & Business Partnership

Serve as the senior analytics IC for the Monetization Analytics pod - the person Data Scientists and PMs come to with the hardest, most ambiguous data problems.
Improve the quality of the question before answering - reframe vague asks into sharper, more valuable analytical approaches.
Lead end-to-end analytics initiatives that span data modeling, pipeline work, and dashboard delivery - with minimal supervision and clear stakeholder communication throughout.
Set metric definitions and standards for advertiser revenue, monetization performance, funnel/cohort metrics, and experiment readouts - and drive consistency across dashboards.
Independently drive root-cause analysis on data discrepancies across dashboards, warehouses, or pipelines - including cross-team debugging when needed.
Review, coach, and raise the bar on the work of other analysts and analytics engineers on the team.

Data Engineering & Pipeline Architecture

Architect and own production-grade SQL data pipelines (Presto / Trino / Hive / Spark SQL) - including making the right tradeoffs on incremental vs. full refresh, pre-aggregation, and cost/performance.
Design and own data cubes, aggregate tables, and semantic layers used by the whole Monetization Analytics function.
Author, own, and operate Airflow DAGs for critical revenue and monetization pipelines - including SLAs, on-call posture, backfills, and incident response.
Set and enforce standards for data quality, reconciliation, and observability - row counts, revenue tie-outs, distribution checks, anomaly alerting - across the domain.
Optimize existing pipelines aggressively for cost and latency (partitioning, incremental refresh, query tuning on billion+ row tables) - and quantify the wins.
Contribute to cross-team technical decisions - table designs, upstream schema changes, migration plans (e.g., Hive → Trino) - via design docs and reviews.

Data Visualization, Metric Governance & Enablement

Own the design and quality of executive and cross-functional dashboards in Tableau and/or Superset.
Drive metric governance - clear definitions, owners, source-of-truth queries, validation, deprecation.
Enable self-serve analytics for Data Scientists, Analysts, and PMs - clear naming, documentation, certified metrics, sensible defaults, and coaching.

You’ll Thrive In This Role If You Have

9+ years of combined experience in Data Analytics, Business Intelligence, or Analytics Engineering roles.
At least 3+ years at Senior level or above in an analytics-adjacent role at a high-scale tech, ads-tech, marketplace, or fintech company.
Prior experience as the most senior analytics IC on an embedded team - or a strong case for why they're ready to step into that role now.
Track record of leading end-to-end analytics initiatives - from ambiguous business question through data model, pipeline, dashboard, and rollout.
Prior experience partnering directly with US-based Data Science, Product, and Engineering leaders as a full contributor.

Technical Skills - SQL & Data Engineering (Advanced)

Expert-level SQL - deep proficiency with window functions, CTEs, complex joins, query optimization, incremental patterns, skew mitigation, and cost tuning on billion+ row tables.
Deep hands-on with at least two of: Presto, Trino, Hive, Spark SQL, Snowflake, BigQuery, Redshift. Can reason about query plans and physical layout, not just syntax.
Advanced Airflow - has architected and operated large DAG ecosystems (50+ production DAGs), including cross-DAG dependencies, backfills at scale, and SLA management. Equivalent orchestrators (Dagster, Prefect) also acceptable if depth is comparable.
Data architecture & modeling depth - Kimball, star schema, dimensional modeling, OLAP cubes, wide fact tables, slowly-changing dimensions, semantic layer design. Can defend design tradeoffs in a design review.
ETL / ELT architecture - incremental loads, backfills, idempotency, data quality frameworks, lineage.
Python for data work - pandas, PySpark, scripting, and light tooling development.
dbt or equivalent transformation framework experience strongly preferred.
Experience contributing to or reviewing design docs and RFCs for data platforms and pipelines.

Technical Skills - Visualization

Deep, hands-on production experience building executive-grade dashboards in Tableau and/or Apache Superset (Looker, Power BI, Mode also acceptable).
Strong opinions on dashboard design - headline vs. drilldown metrics, layout, filters, performance, self-serve UX.
Experience driving metric governance and self-serve BI at an org level.

Analytics & Business Skills

Strong grasp of KPI definition, metric design, funnel analysis, cohort analysis, and A/B testing methodology.
Deep exposure to digital advertising / monetization metrics - impressions, clicks, CTR, CPM, CPC, CVR, ROAS, revenue attribution, incrementality - is strongly preferred.
Prior experience at ads-tech, digital media, or major consumer/marketplace tech companies (Meta, Google, Amazon, Uber, DoorDash, Snap, TikTok, LinkedIn, Airbnb, Instacart, Pinterest peers, etc.) is a strong plus.
Comfort reading experiment results and challenging methodology when needed.

Leadership, Communication & Ways of Working

Native or near-native English (spoken and written) - this is a hard requirement.
Track record of leading initiatives end-to-end with minimal direction - scoping, aligning stakeholders, executing, and communicating results.
Comfortable pushing back on unclear or misdirected requirements and proposing better approaches.
Prolific writer of design docs, RFCs, requirement docs, and postmortems.
Experience mentoring or coaching less-senior analysts and analytics engineers - even if not a formal manager.
Executive presence - can present analytics work to Director/VP-level stakeholders and defend recommendations.
Operates with the ownership mindset of a permanent employee, even in a contract role.

The expected salary range for this position is $130,000 – $150,000 CAD per year, based on experience, skills, and qualifications.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams.

If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.

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More about this job

Responsibilities

Lead the design and ownership of production SQL pipelines, data models, and executive dashboards for monetization and advertiser revenue. Act as a technical leader and thought partner to Data Scientists and Product managers to drive high-impact analytics initiatives.

Requirements

Requires 9+ years of experience in data analytics or engineering, with at least 3 years at a senior level in a high-scale tech environment. Must possess expert-level SQL skills and deep experience with Airflow and modern data warehouse technologies.

Skills

Advanced SQL
Airflow
Data Modeling
Tableau
Apache Superset
Python
PySpark
dbt
Presto
Trino
Hive
Spark SQL
KPI Definition
A/B Testing
Metric Governance
ETL/ELT Architecture

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineering
Data Science
Monetization
Ads-tech
SQL
Airflow
Presto
Trino
Hive
Spark SQL
Snowflake
BigQuery
Redshift
Kimball
Star Schema
Dimensional Modeling
OLAP Cubes
Pandas
dbt
Tableau
Apache Superset
KPI
Funnel Analysis
Cohort Analysis
A/B Testing
CTR
CPM
CPC
CVR
ROAS

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Work requirements

Jobs in Canada