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Added 1 month ago
GA
Software Engineer - All Levels
Genius AI
Remote, Canada
- Full-time
- Remote
…be the ones who architect it. We're hiring across two paths: product engineers who work at the intersection of AI capabilities and customer problems, shipping the features that put agentic…
Added 1 month ago
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Full Stack Engineer (.NET + Front-End)
NetSpeek
Remote, Canada
- Full-time
- Remote
Full Stack Engineer (.NET + Front-End) - NetSpeek
Added 1 month ago
R
AI Native Software Engineer II
Remitly
Burnaby, BC
- Full-time
As a AI Native Software Engineer II, you direct AI agents to build products and solutions, rather than writing code directly. You leverage AI coding agents to replace manual tasks, build…
Added 1 month ago
H
Software Engineer II, Full Stack – Hiring Assistant (Hybrid)
Homebase
Remote, Canada
- $110,000 to $130,000 CAD / year
- Full-time
- Remote
We’re looking for a Full Stack Software Engineer II to join our Hiring Assistant team - one of the most critical bets in Homebase’s future.
Added 1 month ago
R
Senior AI Native Software Engineer
Remitly
Burnaby, BC
- Full-time
As a Senior AI Native Software Engineer, you direct AI agents to build products and solutions, rather than writing code directly. You leverage AI coding agents to replace manual tasks,…
Added 1 month ago
Staff Engineer - Frontend
Munich Re
Toronto, ON
Lead the architecture, design, and development of modern full-stack applications, with a primary focus on frontend engineering using TypeScript, React, and cloud-native technologies.
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
…industry using decades‑deep proprietary data and a modern tech stack, free from heavy legacy. Backed by full enterprise support, you’ll build reliable, explainable intelligence at real…
Added 1 month ago
T
Senior AI Engineer, Agentic Healthcare Platform
TechDoQuest
Canada
- Contract
Exposure to React and TypeScript for occasional full-stack collaboration, while remaining primarily backend/platform focused.
Added 2 months ago
T(
Staff Data Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
- $210,000 to $270,000 USD / year
- Full-time
- Remote
…hierarchy and work remotely with 4 one-week hackathons per year. “Full stack” to us means you own a slice of the product, including its roadmap and…
Added 1 month ago
AC
Full Stack Engineer Remote
Alexander Chapman
Canada
- Full-time
This Senior Full Stack Engineer will own product development end-to-end while helping define engineering standards in an AI-native development environment.
Added 1 month ago
PG
AI Engineer
Pinpoint Global Communications
Canada
- Full-time
This is a full-stack role with direct product impact. If you enjoy owning problems end-to-end, have a relentless bias toward action, and thrive on shipping real systems at high velocity -…
Added 1 month ago
A
Full Stack Engineer
AltConvey
Montreal, QC
- Full-time
Experience: 5+ years in full-stack development, with proven leadership in tech teams (3+ years for emerging leads ready to step up).
Added 1 month ago
FG
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology)
Fitch Group, Inc.
Toronto, ON
- Full-time
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology) Fitch Ratings is seeking an experienced Full-Stack Software Engineer (Associate Director) to join our…
Added 1 month ago
T
Senior Agentic Engineer
TribalScale
Toronto, ON
- Full-time
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 1 month ago
SD
Director of Product - Montreal
Small Door Veterinary
Remote, Canada
- $130,000 to $150,000 CAD / year
- Full-time
- Remote
…what ships, and you will do it hands-on. We expect you to make full use of AI tools like Claude to move quickly: building functional prototypes that make an idea concrete, working through…
Added 2 months ago
PN
Senior Full-Stack Developer
Projekt Network
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
We're looking for a Senior Full-Stack Developer who can move confidently across all three of our surfaces - the Django API, the Next.js web app, and the React Native mobile apps.
Added 1 month ago
R
Senior Software Engineer (Voyager)
Relay
Remote, Canada
- Full-time
- Remote
AI Infrastructure: Build and deploy secure, reusable LLM systems that enable differentiated product experiences, and own them across the full lifecycle, from design through deployment and…
Added 1 month ago
L
Senior Full-stack Engineer
Limbic
Remote, Canada
- Full-time
- Remote
We're seeking a Senior Full-stack Engineer who's motivated by seeing their work change outcomes for real people. You'll ship features end-to-end that patients and clinicians depend on every…
Added 1 month ago
Staff Engineer (Product)
Later
Vancouver, BC
We’re looking for a Staff Engineer to play a critical role in shaping the future of Later’s technology stack. This is a senior-level role for a highly skilled engineer who thrives in…
Added 1 month ago
VC
AI Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
This is a full-stack role with direct product impact. If you enjoy owning problems end-to-end, have a relentless bias toward action, and thrive on shipping real systems at high velocity -…
Added 2 months ago
II
Lead Analytics Engineer
Innodata Inc.
Canada
- $130,000 to $150,000 CAD / year
- Contract
Prior experience partnering directly with US-based Data Science, Product, and Engineering leaders as a full contributor.
Added 2 months ago
LR
Forward Deployed Software Engineer - AI & Operations
Lanart Rug
Montreal, QC
- $130,000 to $200,000 CAD / year
- Full-time
Lanart is building an AI-native operating system inside an established Canadian manufacturing and consumer-products business. We are hiring a Forward Deployed Software Engineer who will sit…
Added 1 month ago
RB
AI-First Quality Engineering Lead
Royal Bank of Canada
Toronto, ON
- Full-time
You will partner across technology, product, and platform teams to lead a full shift-left transformation powered by GenAI, intelligent automation, and agentic engineering practices. This is…
Added 1 month ago
R
AI-First Quality Engineering Lead
RBC
Toronto, ON
- Full-time
You will partner across technology, product, and platform teams to lead a full shift-left transformation powered by GenAI, intelligent automation, and agentic engineering practices. This is…
Added 2 months ago
M
Senior Software Engineer (Backend)
Motion
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer, you'll do full-stack development with a focus on backend: anything from building features to designing, implementing, and maintaining robust, high-quality…

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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