IT & data jobs in Canada

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Added 1 month ago
Senior Data Engineer
Scotiabank
Toronto, ON
As a Senior Data Engineer within the Data & AI Technology team, you will play a critical leadership role in designing, building, and scaling enterprise grade data platforms. You will…
Added 1 month ago
Data Engineer
MCAP
Waterloo, ON · Toronto, ON
This position is responsible for the analysis, design, execution, assessment, security, and troubleshooting of data, data pipelines, and reporting. This role is responsible for…
Added 1 month ago
Staff Data Engineer
ExaCare AI
Toronto, Ontario
We’re looking for a Staff Data Engineer who thrives in an environment with strong ownership and can drive complex data initiatives from concept to production. You’ll build the pipelines,…
Added 1 month ago
PL
Information technology (IT) support technician
PRINCE LOGISTIC SERVICES
Saint-Antoine-Abbé, QC
- From $36 CAD / hour
- Full-time
- On-site
Added 1 month ago
SL
Data Engineer
Staffingine LLC
Toronto, ON
- Contract
We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python. The ideal candidate should have experience…
Added 1 month ago
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Data Scientist
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Contract
Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of…
Added 1 month ago
JG
GCP Data Engineer
J&M Group
Canada
- Contract
We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling.…
Added 1 month ago
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Information Security Analyst
Raise
Toronto, ON
- Contract
Candidate must possess risk analysis skills which will be used to determine eligibility of privileged access assignments · Must Have Requirements:
Added 1 month ago
UT
AML Developer IV/Data Scientist #26-25738
US Tech Solutions
Markham, ON
- $90 to $95 CAD / hour
- Contract
Location: Hybrid - Toronto or Markham; 3 days in office and 2 days work from home, with potential to move to 4 days in office
Added 1 month ago
IC
Senior Data Scientist – Azure & Databricks
Infotek Consulting Inc.
Toronto, ON
- $90 to $105 CAD / hour
- Contract
Seeking a Senior Data Scientist to support advanced analytics, predictive modelling and data science initiatives within a large financial services environment. The role will use statistical…
Added 1 month ago
AI
GCP Data Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced GCP Data Engineer with strong hands-on experience in Google Cloud Platform, BigQuery, SQL, and data warehousing. Experience with dbt, Python, and…
Added 1 month ago
Senior Data Engineer
BitGo
Toronto, ON
BitGo is seeking a skilled Senior Data Engineer to join our Data Engineering team and help build, scale, and optimize our data platform, reporting infrastructure, and data-driven products.
Added 1 month ago
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Data Scientist
Hays
ON · Ontario, Canada
- $60 to $62 CAD / hour
- Contract
Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of…
Added 1 month ago
AC
Senior System Administrator
Amphenol Communications Solutions
Markham, ON
- Full-time
…assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and…
Added 1 month ago
T
Data Scientist – Financial Crime Risk Management (FCRM)
TD
Toronto, ON
- Full-time
Works in a highly interactive, team-oriented environment with Big Data developers, and analytical experts
Added 1 month ago
T
IT Support Analyst IV
TD
Toronto, ON
- Full-time
Basic knowledge of cloud-based platforms and services such as Azure App Services, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure SQL.
Added 1 month ago
JI
Service Desk Analyst
J.D. Irving, Limited
Fredericton, NB
- Full-time
Added 1 month ago
AI
Application Support Analyst - IntelliMatch (iMatch)
Apptoza Inc.
Toronto, ON
- Contract
Added 1 month ago
TI
Data Scientist
TekStaff IT Solutions
Toronto, ON
- Contract
TekStaff's Client has a current vacancy for "Data Scientist"
Added 1 month ago
R
Technologies numériques - Opérations manufacturières : Analyste des systèmes MES / Digital Technologies - Manufacturing Operations: MES Systems Analyst
RTX
Longueuil, QC
- Full-time
Added 1 month ago
BI
Software Development Manager
BrightOrder Inc.
Remote, Canada
- Full-time
- Remote
GPS data streams & real-time event processing
Added 1 month ago
IT Support Technician
CONA Services
Montreal, QC · Lachine, QC
Added 1 month ago
K
IT Help Desk Specialist - Fixanator
Klick
Toronto, ON
- Full-time
…powered by 500+ in-house medical experts and award-winning data science and AI capabilities. Founded in 1997, we have offices in Toronto, New York, Oxford, London, Cambridge, Cardiff,…
Added 1 month ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Added 1 month ago
MH
Security Systems Administrator
Manitoba Hydro
Winnipeg, MB
- Full-time
Must possess and maintain valid Manitoba Class 5 Driver's Licence

ExaCare AI

Staff Data Engineer

Toronto, ON, Canada

Apply on ats.rippling.com About employer

Applications open in a new tab.

Job details

Experience: 7+ years of engineering experience with a focus on data engineering, data platforms, or backend systems involving substantial data processing.
Posting language: English
Posted: Oct 9, 2026

Original job description

We’re looking for a Staff Data Engineer who thrives in an environment with strong ownership and can drive complex data initiatives from concept to production. You’ll build the pipelines, data models, and infrastructure that power our product, analytics, and AI workflows; turning complex healthcare data into reliable, usable foundations for our teams and customers.

What You’ll Do

Own data initiatives end-to-end: Take a data problem through technical design, implementation, validation, production rollout, and ongoing operation, without requiring constant senior oversight.
Build reliable data pipelines: Design and maintain scalable ingestion and transformation pipelines across application databases, APIs, third-party integrations, and healthcare data sources.
Bring systems-to-workflow thinking: Connect data architecture, models, and integrations to how customers, operators, and internal teams use the resulting information.
Design reusable data models: Create well-structured datasets and shared definitions that support product features, reporting, analytics, and machine learning.
Own data quality and production readiness: Build validation, monitoring, alerting, and recovery into pipelines so teams can trust the accuracy, freshness, and completeness of their data.
Scale performance and reliability: Improve processing efficiency, query performance, and infrastructure costs as data volume and product complexity grow.
Collaborate across teams: Partner with product, operations, platform, ML, and other engineers to translate business needs into practical data solutions.
Raise the engineering bar: Contribute to technical design, code reviews, documentation, and mentorship while establishing maintainable data engineering practices.

What You’ll Bring

7+ years of engineering experience with a focus on data engineering, data platforms, or backend systems involving substantial data processing.
Strong proficiency with SQL and TypeScript, including building production pipelines and working with complex datasets.
Experience designing ETL/ELT pipelines, data models, and orchestration workflows, with an understanding of dependencies, retries, backfills, and schema evolution.
Strong fundamentals in relational databases, data warehouses, and cloud infrastructure, including query optimization and scalable storage and processing.
Ability to own production data systems end-to-end, from design through rollout and ongoing support.
Good product and workflow judgment. You understand how data will be used and make technical decisions that serve those needs.
A practical approach to data quality, observability, access controls, and handling sensitive information.
Comfort operating in ambiguity. You can scope, plan, and execute independently on complex, open-ended problems.
Clear communication with technical and nontechnical partners, including the ability to explain data assumptions, tradeoffs, and limitations.

Nice to Have

Experience working with healthcare data, EHR integrations, or interoperability standards such FHIR.
Experience supporting ML pipelines, AI products, or datasets used for model training and evaluation.
Familiarity with tools such as Databricks, dbt, Airflow, Dagster, Spark, or comparable data processing and orchestration frameworks.
Experience building data infrastructure in a fast-growing startup.

An insight into our Core Values

Only the Best Belong Here

We are unapologetic about talent. This should be the best team you have ever been on. Protecting that standard is how we honor each other’s time, ambition, and craft.

We work even harder to keep our partners than we did to earn them initially

The work does not stop when a customer first onboards to our platform. It deepens over time. We partner with operators, listening and learning about real problems, and translate that into solutions that help them succeed in practice. We earn trust through consistent delivery.

The Patient is Downstream of Every Decision
At the end of the day, this is about the patient. We get there by deeply respecting post-acute operators and partners, because their work is the path our software travels to create better care.

Raise the Bar on Ownership

We grow because people here go beyond the minimum. We invest extra effort, care, and ownership into what we build.

The World is Moving Fast. We move Faster.

This is a race. We work hard, we move early, and we stay ahead of problems and competitors. If we slow down, someone else will pass us.

Radical Candor, Zero Politics.

We say what’s true, early, and we keep communication direct and clean so the team can move.

Bring Good Vibes and Win Together

We win as a team. We bring energy, support each other, and make the workplace somewhere people are excited to show up to.

If this sounds like you, we'd love to have a chat!

Apply on ats.rippling.com About employer

More about this job

Responsibilities

You will own data initiatives end-to-end, designing and maintaining scalable pipelines and infrastructure to support product, analytics, and AI workflows. Additionally, you will collaborate across teams to build reliable data models and ensure production readiness through monitoring and validation.

Requirements

The role requires 7+ years of engineering experience with a strong focus on data platforms and backend systems involving substantial data processing. You must have proficiency in SQL and TypeScript, along with experience in designing ETL/ELT pipelines and cloud infrastructure.

Skills

Data Engineering
SQL
TypeScript
ETL/ELT
Data Modeling
Cloud Infrastructure
Data Pipelines
Orchestration
Data Quality
Observability
Healthcare Data
FHIR
Databricks
Airflow
Spark
Machine Learning

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
TypeScript
ETL
ELT
Data Modeling
Cloud Infrastructure
Data Pipelines
Orchestration
Data Quality
Observability
Healthcare Data
FHIR
Databricks
Dbt
Airflow
Dagster
Spark
Machine Learning
Backend Systems
Data Warehousing
Schema Evolution
API Integration
Interoperability
Startup
Data Architecture
Query Optimization
Production Readiness
Technical Design
Mentorship

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IT & data jobs in Canada

Senior Data Engineer

Data Engineer