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Staff Software Engineer
fb9e7da1-2660-46a2-9ffc-154a66684510
Toronto, ON
- $172,000 to $229,000 CAD / year
- Full-time
- Hybrid
As a Staff Software Engineer, your primary focus will be to architect, build, and optimize our industry-leading platform across the entire stack, from scalable frontend applications to…
Added 1 day ago
Senior Data Engineer
Queen's University
Kingston, ON
Reporting to the Manager, Data Platforms, Information Technology Services (IT Services), the Senior Data Engineer (Engineer) is a seasoned IT professional who leads the team with the design…
Added 1 day ago
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Domain Consultant - Canada
Palo Alto Networks, Inc.
Toronto, ON · Montréal, QC · Vancouver, BC · Calgary, AB
- Full-time
Venafi - now part of Palo Alto Networks - is the inventor of technology that secures machine identities and the #1 provider of certificate lifecycle management for the Global 5000. We are…
Added 1 day ago
Senior AI & DevOps Engineer – Azure, AWS & Generative AI
Astra North Infoteck Inc.
Calgary, AB
10+ years of experience as a DevOps expert in cloud technologies, primarily Microsoft Azure and AWS.
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Senior Data Engineer
CarePartners
Waterloo, ON · London, ON
- Full-time
The Senior Data Engineer is responsible for the design, governance, and ongoing evolution of the organization's enterprise data environment. This role provides leadership in data…
Added 1 day ago
Senior Data Engineer
Clutch Technologies Inc.
Toronto, ON
Our data team builds with technologies like Snowflake, dbt, Airflow, Python, and AWS, alongside an application stack of TypeScript, PostgreSQL, and Express. We're far more interested in…
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AI & Cloud Services Professionals
Ericsson
ON
Hands-on experience with Linux-based systems and scripting in Python and/or Shell/Bash in a professional environment.
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RC
Sr. Technical Analyst - Hybrid
Randstad Canada
Mississauga, ON
- $110,000 to $130,000 CAD / year
- Full-time
Build Python and SQL-based automation, integrations and data-processing components.
Added 1 day ago
RC
Full-Stack Software Engineer
Randstad Canada
Waterloo, ON
- $76.2 to $83.12 CAD / hour
- Contract
Our Client is seeking a Senior Full-Stack Software Engineer (8+ years of experience) to design, develop, test, and maintain high-volume enterprise applications. Operating under a Hybrid…
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Technical Lead (Future Engineering Manager)
PheedLoop / NordSpace
Toronto, ON
- Full-time
- Hybrid
Build full-stack features end-to-end with Python/Django and TypeScript/React from data model to production UI
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Forward Deployed AI Engineer
Groom & Associates
Montréal, QC
As a Forward Deployed Engineer, you act as the technical lead and primary engineering contact for retail clients:
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RC
Data Engineer
Randstad Canada
Lachine, QC
- $45 to $58.09 CAD / hour
- Contract
Operating within a hybrid model in Montreal, you will bridge the gap between transactional enterprise systems and modern cloud analytics platforms. You will engineer and optimize data…
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QA Engineer, Data
Bridgenext
Canada
- Contract
Workplace: This is a hybrid contract position, working 2 days per week in office in Vancouver, Calgary, or Toronto · Candidates must live within commuting distance of one of these offices
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BI Developer & Data Engineer (Contract)
Altis
Montréal, QC
- $50 to $70 CAD / hour
- Contract
Were looking for a BI Developer & Data Engineer to join a digital transformation team within a global organization in the energy technology sector. Youll play an important role in…
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Data Quality Engineer
Procom
Toronto, ON
- $70.5 to $94 CAD / hour
- Contract
This role supports the modernization of the data quality framework for fraud and financial crimes data. As the fraud data warehouse moves from an on-prem environment to AWS, the team is…
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Senior Java Full Stack Developer
Miratech
Riverdale, AB
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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Senior Java Full Stack Developer
Miratech
Canada
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 1 day ago
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Senior Java Full Stack Developer
Miratech
ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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Senior Java Full Stack Developer
Miratech
Scarborough, MB
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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Senior Java Full Stack Developer
Miratech
Midtown Toronto, ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 1 day ago
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Solutions Architect
Ascendance Foundry
Toronto, ON
- Full-time
- Hybrid
Analyze client data sources (APIs, SQL, CSV, logs, emissions data, financial data, engineering systems) to extract insights and uncover opportunities for automation.
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Software Developer
Fidelity Investments Canada ULC
Toronto, ON
- Full-time
…Investments Canada, you will support the implementation, deployment and ongoing operation of components used in Agentic AI solutions across AWS and…
Added 1 day ago
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Senior Databricks Engineer
KData Inc.
Adelaide, ON
- Contract
Core Languages: Advanced, expert-level proficiency in Python (PySpark, Spark Core) and Advanced SQL (complex analytical queries, window functions, and physical query execution plan tuning).
Added 1 day ago
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Big Data Engineer (PySpark / Spark / Kafka)
Astra North Infoteck Inc.
Toronto, ON
- Contract
We are seeking an experienced Data Engineer with strong expertise in Big Data technologies to design, develop, and support enterprise-scale data platforms. The ideal candidate should have…
Added 1 day ago
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Senior Integration Engineer – AI - Tax And Audit AI
Thomson Reuters (Tax & Accounting) Inc
Toronto, ON
- Full-time
- Hybrid
Strong proficiency in Python and/or C#/.NET, solid SQL skills, and experience building REST APIs, event-driven integrations and file or batch-based data exchanges.

Senior Data Engineer

Waterloo, ON, Canada
London, ON, Canada

The salary range is $100,000.00 to $120,000.00, and placement within the range will be determined in accordance with company policies and procedures, as well as the candidate’s knowledge, skills, qualifications, and relevant experience. · Full-time

Apply on careers-carepartners.icims.com About employer

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Job details

Pay: The salary range is $100,000.00 to $120,000.00, and placement within the range will be determined in accordance with company policies and procedures, as well as the candidate’s knowledge, skills, qualifications, and relevant experience.
Job type: Full-time
Apply by: Nov 10, 2027
Experience: At least 7 years experience in data-based roles including time as a Data Engineer, Analytics Engineer, Data Warehouse Engineer, or similar roles.
Posting language: English
Posted: Nov 10, 2026

Original job description

Who We Are

CarePartners is one of Ontario’s largest accredited home health care providers, providing nursing, personal support, therapy and rehabilitation support services for patients of all ages. We care for approximately 72,000 patients each year in homes, schools, clinics, workplaces and retirement homes, through our 24 locations and 24 nursing clinics. CarePartners is proud of its commitment to quality, relentlessly seeking to improve the patient and caregiver experience, promoting a healthy and resilient workplace culture, and contributing to a sustainable healthcare system in Ontario.

Overview

The Senior Data Engineer is responsible for the design, governance, and ongoing evolution of the organization's enterprise data environment. This role provides leadership in data governance, data architecture, integration, quality, analytics enablement, and AI readiness. Working across clinical, operational, financial, HR, and technology domains, the role ensures organizational data is trusted, secure, accessible, and structured to support decision-making, regulatory compliance, operational excellence, and emerging technologies such as Artificial Intelligence (AI). The position serves as theorganization's senior technical expert on data management practices and acts as a strategic partnerto business and technology leaders using technical expertise to create a data environment that supports our team.

What We Offer

This position offers a competitive compensation range. The salary range is $100,000.00 to $120,000.00, and placement within the range will be determined in accordance with company policies and procedures, as well as the candidate’s knowledge, skills, qualifications, and relevant experience.
Comprehensive health and dental benefits
Other employment perks such as Employee Assistance Program, Perkopolis, Rewards Points
Inspiring leadership and opportunities for professional growth
Rewarding and meaningful work in healthcare

What The Role Involves

DATA GOVERNANCE, PRIVACY AND COMPLIANCE

Lead the organization's Data Governance framework through the Data Governance Council,establishing standards for data ownership, stewardship, quality, access, and lifecycle management.
Ensure the secure and compliant management of sensitive information, including Personal Health Information (PHI) and Personally Identifiable Information (PII).
Develop and maintain data governance processes, policies, standards, and controls that support privacy, security, compliance, and organizational objectives.
Promote accountability and consistent data management practices across all business, operational, and clinical functions.
Support governance frameworks that enables the responsible and ethical use of data and AI technologies.

ENTERPRISE DATA ARCHITECTURE AND PLATFORM MANAGEMENT

Design, develop, and maintain the organization's enterprise data platform and data warehouse architecture.
Establish and maintain data models, structures, standards, and integration patterns that support reporting, analytics, operational processes, and strategic decision-making.
Define the long-term data architecture roadmap, ensuring solutions are scalable, secure, sustainable, and aligned with organizational priorities.
Evaluate and recommend data technologies, platforms, and architectural approaches that improve organizational capabilities.
Ensure data architecture supports future growth, advanced analytics, automation, and AI initiatives. DATA INTEGRATION, ENGINEERING AND MODELING
Design, develop, and maintain enterprise data pipelines that integrate data from clinical, financial, operational, HR, and third-party systems.
Develop and support ETL/ELT processes that transform complex source data into trusted and reusable organizational datasets.
Create and maintain data models that improve consistency, usability, and performance across reporting and analytics solutions.
Implement automated monitoring, validation, and error-handling processes to ensure data reliability and integrity.
Maintain scalable, maintainable, and high-performing data solutions that support evolving business need

DATA QUALITY AND INFORMATION MANAGEMENT

Establish enterprise standards and processes for data quality management, validation, monitoring, and issue resolution.
Identify data quality risks, gaps, inconsistencies, and root causes, and collaborate with stakeholders to implement sustainable corrective actions.
Translate complex healthcare and business data into accurate, reliable, and accessible information assets.
Develop controls and quality measures that improve trust and confidence in organizational data.
Foster a culture of data stewardship and continuous improvement across the organization.

ANALYTICS ENABLEMENT AND BUSINESS PARTNERSHIP

Develop and maintain trusted datasets that support reporting, dashboards, analytics, quality improvement initiatives, and performance measurement.
Partner with business, clinical, operational, and technology leaders to understand information needs and deliver scalable data solutions.
Act as a senior advisor on data governance, architecture, integration, analytics, and information management initiatives.
Translate complex technical concepts into clear and meaningful information for both technical and non-technical stakeholders.
Support organizational efforts to become increasingly data-driven through accessible and trusted information.

AI READINESS AND INNOVATION

Lead the development of the foundational data capabilities required to support Artificial Intelligence (AI), machine learning, automation, and advanced analytics initiatives.
Ensure data used for AI solutions is governed, secure, high-quality, and compliant with privacy and regulatory requirements.
Help evaluate emerging AI, analytics, and data technologies and provide recommendations to support organizational strategy and innovation.
Support the organization's responsible adoption of AI through strong governance, transparency, and risk management practices.

DOCUMENTATION, STANDARDS AND CONTINUOUS IMPROVEMENT

Maintain comprehensive documentation of data sources, lineage, transformations, business definitions, architecture, governance processes, and technical standards.
Establish documentation and operational standards that support transparency, maintainability, and long-term sustainability of the data environment.
Drive continuous improvement initiatives that improve data reliability, scalability, security, and operational effectiveness.
Promote best practices for data management, governance, analytics, and AI readiness across the organization.
Contribute to the ongoing advancement of the organization's data maturity and information management capabilities.

What You Bring

A bachelor’s degree, or equivalent practical experience in data engineering, information systems, health informatics, or a related field.
At least 7 years experience in data-based roles including time as a Data Engineer, Analytics Engineer, Data Warehouse Engineer, or similar roles.
Superb SQL skills and experience working with relational databases.
Experience building ETL or ELT pipelines from source systems into a data warehouse, database, or cloud data platform.
Experience with Python or another programming language used for data processing.
In depth understanding of data modeling, data warehouse design (such as medallion architectures), and organizing data for analytics and reporting.
Experience working with healthcare (ideally home healthcare) data or in a healthcare, clinical, or related environment is preferred.
In depth understanding of healthcare privacy and security requirements, including responsible handling of PHI is preferred.
Ability to work with incomplete, or inconsistent data and create solutions. · Comfortable working in an environment where processes are still being built.
Experience with healthcare data standards such as HL7, FHIR, or ICD is preferred.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experience with data platforms such as Snowflake, Databricks, or Azure Synapse.
Experience supporting business intelligence tools such as Power BI, Tableau, Looker, or similar platforms.
Strong communication skills and the ability to explain technical work to non-technical partners. · Experience with data governance practices, including data quality, documentation, access controls, privacy, data ownership, and secure handling of healthcare data.
Ability to create and maintain clear data definitions, business rules, and documentation.
Ability to work well with a team of data analysts and provide indirect leadership, guidance and mentorship.
Travel within Ontario and the ability to work non-traditional and on-call hours is a requirement
Valid driver's license, own vehicle and appropriate insurance
Clear Criminial Record

CarePartners In Your Community

In addition to providing home-based health care, CarePartners also serves the community through clinics, transitional care units, and provides relief in retirement homes and shared care settings. Through our Community Nursing Services outreach program, we’ve been organizing staff-led medical care and clinics in countries with poor access to health care since 2009

Accessibility

CarePartners welcomes and encourages applicants from people with disabilities. Candidates can request accommodations at any time in the hiring process.

Artificial Intelligence

CarePartners uses iCIMs as part of our recruitment and hiring process. While we incorporate select Artificial Intelligence (AI) features to enhance process efficiency, we remain committed to human-led decision making. All AI-generated outputs are subject to human review to ensure accuracy and fairness.

This job posting is available due to an existing vacancy.

Apply on careers-carepartners.icims.com About employer

More about this job

Responsibilities

The Senior Data Engineer at CarePartners will design and maintain the company's data platform and pipelines, set standards for data quality and governance, and protect patient information. The role also advises leaders on data use and prepares the data needed for AI projects.

Requirements

Candidates need at least 7 years in data roles, strong SQL skills, and experience building ETL or ELT pipelines and data warehouses. Python, healthcare data privacy, and a valid driver's licence with a vehicle and clear criminal record are also required.

Skills

SQL
Python
ETL/ELT pipeline development
Data warehouse design
Data modeling
Medallion architecture
Data governance
Data quality management
Data integration
Snowflake
Databricks
Azure Synapse
AWS
Azure
Google Cloud
Power BI
Tableau
Looker
HL7
FHIR
ICD coding
PHI and PII privacy
Access controls
Data documentation and lineage
Technical communication

Benefits

Comprehensive health and dental benefits
Employee Assistance Program
Perkopolis perks
Rewards Points
Professional growth opportunities

Keywords

Senior Data Engineer
data engineering
data governance
data architecture
ETL
ELT
data pipelines
data warehouse
data modeling
SQL
Python
medallion architecture
Snowflake
Databricks
Azure Synapse
AWS
Azure
Google Cloud
Power BI
Tableau

Seniority

Senior

Perks

Wellness program

Tools

SQL
Python
Snowflake
Databricks
Azure Synapse
Power BI
Tableau
Looker

Languages

English

Fields of study

data engineering
information systems
health informatics

Own vehicle

Yes

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Work requirements

Jobs in Canada