Jobs in Canada

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Added 2 months ago
PH
Sr. Data Engineer
Propel Holdings
Toronto, ON
- Full-time
Design, develop, and maintain secure, scalable Snowflake databases, schemas, warehouses, and data-sharing solutions for analytics, reporting, and finance use cases
Added 2 months ago
ZI
Senior Data Engineer
ZenaTech Inc.
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
Strong SQL and Python; hands-on with a modern warehouse (Snowflake, BigQuery, Redshift, or Databricks) and a transformation framework such as dbt
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
SH
Data Engineer
Spectrum Health Care
Toronto, ON
- Full-time
Are you a Data Engineer with experience building cloud-based data solutions and transforming healthcare data into actionable insights? At Spectrum Health Care (Spectrum), we're building a…
Added 2 months ago
B
Data Engineer
BrainStation
Toronto, ON
- $90,000 to $125,000 CAD / year
- Full-time
As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks,…
Added 2 months ago
E
Ingénieur analytique d’entreprise
EXFO
Quebec, QC
- Full-time
SQL et frameworks modernes de transformation des données tels que dbt.
Added 2 months ago
S
Lead Data and AI Engineer
Sanofi
Toronto, ON
- Full-time
…processing solutions using technologies such as Spark, Kafka, Snowflake, Hadoop, or…
Added 2 months ago
Data Engineer
Konrad
Toronto, ON
As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks,…
Added 2 months ago
S
Developer Advocate - AI & Developer Experiences
Snowflake
Toronto, ON
- $122,000 to $175,000 USD / year
- Full-time
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent…
Added 2 months ago
SH
Intermediate Data Engineer
Sandman Hotel Group
BC · West Vancouver, BC
- Full-time
We're looking for a Data Engineer to design and build the pipelines and data architecture that power analytics, reporting, and governance across the business. You'll spend most of your time…
Added 3 months ago
B
Data Engineer
BrainStation
Toronto, ON
- $90,000 to $125,000 CAD / year
- Full-time
As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks,…
Added 2 months ago
B
GTM Analytics Lead
ButterflyMX
Remote, Canada
- Full-time
- Remote
You build infrastructure, not one-offs. You default to codifying things: SQL, dbt models, governed metric definitions. Every manual spreadsheet you touch becomes a process you automate. You…
Added 2 months ago
E
Ingénieur analytique d’entreprise
EXFO
Montreal, QC · Quebec, QC
- Full-time
SQL et frameworks modernes de transformation des données tels que dbt.
Added 2 months ago
W
Senior Software Engineer II - Integrations
Wrapbook
Remote, Canada
- $183,000 to $251,500 CAD / year
- Full-time
- Remote
The Opportunity - Senior Software Engineer II (Remote - Canada)
Added 3 months ago
S
Data Architect - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Strong experience as a hands‑on data engineer, with the ability to design, build, and maintain production‑grade data solutions while contributing directly to delivery
Added 3 months ago
Intermediate Data Engineer
Northland Properties
Vancouver, BC
We're looking for a Data Engineer to design and build the pipelines and data architecture that power analytics, reporting, and governance across the business. You'll spend most of your time…
Added 2 months ago
Senior Software Engineer - Metadata
Fivetran
ON
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform - the discovery API, catalog, lineage, and run history services…
Added 2 months ago
A
Digital - Senior Data Engineer/Data Engineer, Digital Technology
Aritzia
Vancouver, BC
- Full-time
…the vision and mission of the business. As the Senior Data Engineer / Data Engineer, you will bridge data modeling and analytics to transform raw data into high-quality, reliable data…
Added 3 months ago
PI
Senior Snowflake Engineer
Princeton IT Services, Inc
Toronto, ON
- Full-time
Data Engineer with strong expertise in ETL development, building Snowflake data pipelines, SQL, Python, and scalable data engineering solutions.
Added 3 months ago
JI
Senior MLOps Engineer | Ingénieur·e MLOps senior
Jesta I.S.
Montreal, QC
- Full-time
Work Model: Hybrid; 2 days per week in the Montreal office
Added 3 months ago
DT
Senior Solutions Principal
Dell Technologies
Toronto, ON
- Full-time
· Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar).
Added 3 months ago
CA
Senior Data Engineer
Cooke Aquaculture Inc.
Saint John, NB
- Full-time
…workflows, and automated transformations using tools such as Snowflake, DBT,FiveTran, Boomi, Azure Data Factory, SQL, Python, and related…
Added 3 months ago
CA
Associate Data Engineer
Cooke Aquaculture Inc.
Saint John, NB
- Full-time
Exposure to modern data tools and platforms such as Snowflake, DBT, FiveTran, Boomi, and API-based integrations.
Added 3 months ago
CA
Data Engineer
Cooke Aquaculture Inc.
Saint John, NB
- Full-time
Proficient in building and maintaining ETL and ELT data pipelines using tools such as Snowflake, DBT, FiveTran, Boomi, and API-based integrations.
Added 3 months ago
RB
Staff Software Engineer
Ritchie Bros.
Vancouver, BC
- Full-time
We are seeking a highly skilled Staff Software Engineer to join our Data Engineering team. In this senior technical leadership role, you will drive the architecture, design, and evolution…

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