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Added 2 hours ago
RB
Senior Platform Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Design and implement observability-as-code solutions across AWS, Azure, and OpenShift Container Platform (OCP) using Terraform and infrastructure-as-code practices.
Added 10 hours ago
SI
Data Engineer
Spait Infotech
Canada
- Full-time
Develop data processing solutions using Python, SQL, and PySpark.
Added 10 hours ago
TT
Software Architect
trane technologies
Montreal, QC
- Full-time
…technology focused on reducing demand-side energy consumption and emissions. Our team - including BrainBox AI, Nuvolo, and more - combines technical expertise with advanced analytics to…
Added 11 hours ago
M
Senior Software Engineer-C#
Morningstar
Toronto, ON
- Full-time
Morningstar is seeking a Senior Software Engineer (Backend) to design, build, and maintain scalable enterprise applications and APIs. The role focuses on backend development using C#, .NET,…
Added 12 hours ago
QW
AWS Data Architect
Quantum World Technologies Inc.
Toronto, ON
- Contract
Strong knowledge of SQL, Python, and PySpark.
Added 12 hours ago
Senior AI Engineer, IT Solutions 1 1 1
Celestica International LP
Toronto, ON
We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and…
Added 12 hours ago
M
Senior Software Engineer-C#
Morningstar
Toronto, ON
- Full-time
Morningstar is seeking a Senior Software Engineer (Backend) to design, build, and maintain scalable enterprise applications and APIs. The role focuses on backend development using C#, .NET,…
Added 13 hours ago
K
Data Engineer
Kindsight
Remote, Canada
- $120,000 to $135,000 CAD / year
- Full-time
- Remote
We are seeking a hands-on Data Engineer to build and maintain the data platform behind Kindsight's customer-facing analytics products. You will work across the full pipeline: ingesting data…
Added 14 hours ago
R
Senior Platform Automation Engineer
RBC
Toronto, ON
- Full-time
Design and implement observability-as-code solutions across AWS, Azure, and OpenShift Container Platform (OCP) using Terraform and infrastructure-as-code practices.
Added 15 hours ago
D
Java / Python Engineer
Dexian
Mississauga, ON
- $60 to $65 CAD / hour
- Contract
Expert-level proficiency in Java (Core Java, Spring Boot, Microservices architecture, REST/gRPC APIs) and/or strong production experience in Python (FastAPI/Flask, data processing…
Added 15 hours ago
ES
Senior Data Engineer
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Write advanced SQL and Python to develop transformations, frameworks, automation, and reusable engineering tooling.
Added 15 hours ago
P
Data Integration Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
A Prophix Data Integration Engineer enables seamless, automated connections between client data sources and the Prophix platform. Working on the Professional Services team and with…
Added 16 hours ago
AC
Ingénieur·e données
ALTEN Canada
Montreal, QC
- Full-time
Maîtrise de Python 3, PySpark (DataFrame API, Spark SQL), SQL et Git
Added 16 hours ago
F
Staff Back End Engineer (Data Platform)
Forma.ai
Toronto, ON
- Full-time
As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints…
Added 17 hours ago
W
Software Engineer – Platform Security & Modernization
W3Global
Montreal, QC
- $50 to $60 CAD / hour
- Contract
We are seeking a Software Engineer to join a global enterprise technology team responsible for the development, modernization, security, and operational reliability of mission-critical…
Added 17 hours ago
AI
Big Data Engineer (PySpark / Spark / Kafka)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
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 23 hours ago
P
Core Java, Apache Spark, Python
PeoplePilot
Montreal, QC
- $120,000 to $130,000 CAD / year
- Full-time
We are seeking a highly motivated and experienced Software Engineer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux to design, develop, and support scalable…
Added 23 hours ago
MA
Lead / Principal Data Engineer - Snowflake & dbt
Mitra AI
Canada
- Contract
We are seeking a highly experienced, hands-on Lead / Principal Data Engineer with deep expertise in Snowflake, DBT, advanced SQL, and modern data engineering practices to support enterprise…
Added 1 day ago
C
Ingénieur de données senior
CGI
Montreal, QC
- Full-time
The Data Engineer Senior acts as a specialist in the design, development, integration and optimisation of data solutions. They contribute to the implementation of pipelines, integration…
Added 1 day ago
KA
Senior Databricks Engineer
KData AI
Toronto, ON
- Full-time
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
PC
Azure Data Consultant, Senior Associate
PwC Canada
Toronto, ON
- Full-time
Proficiency in SQL and Python; strong understanding of ETL/ELT processes.
Added 1 day ago
V
Senior Lead Data & AI Engineer
Vanguard
Toronto, ON
- Full-time
We are seeking an experienced Senior Lead Data & AI Engineer with 9-12+ years of experience in Data Engineering and modern cloud-based data platforms, with deep expertise in Databricks,…
Added 1 day ago
TL
Senior Data Engineer (Modern Data Stack) [Only Canada]
Tekton Labs
Canada
- Full-time
At Tekton Labs, a technology outsourcing company with presence in Peru, Mexico, and the USA, we are looking for a Senior Data Engineer to join our team and collaborate directly with our…

Kindsight

Data Engineer

Remote, Canada

Remote

$120,000 to $135,000 CAD / year · Full-time

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Job details

Pay: $120,000 to $135,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Nov 3, 2026

Original job description

About Kindsight:

Kindsight builds technology that helps fundraisers make a difference. For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest charitable giving database on the market. And as the giving sector evolves, so does Kindsight. As the leader in fundraising intelligence, Kindsight leverages real-time data and AI to help thousands of organizations around the world identify, manage, and engage with donors - at any scale. With purpose-built CRMs that corral all of that donor information and campaign tracking into one place, donor prospect research tools that offer proactive insights and real-time donor intel, and generative AI that creates personalized, meaningful content drafts at scale, Kindsight’s product suite is truly changing the game for donor fundraising.

Position Summary:

We are seeking a hands-on Data Engineer to build and maintain the data platform behind Kindsight's customer-facing analytics products. You will work across the full pipeline: ingesting data from customer environments into our data lake, and transforming it through a dimensional data warehouse that powers dashboards and AI-driven insights. This is a strong fit for someone who enjoys building production data systems and wants depth in modern data engineering, cloud infrastructure, and multi-tenant analytics at scale.

What You’ll Do:

Build and maintain ELT pipelines that ingest data from customer Salesforce environments into our AWS data lake, covering both scheduled batch loads and near-real-time change data capture.
Develop data transformation layers (medallion architecture) and dimensional models in dbt on Redshift or Snowflake, implementing incremental logic, slowly changing dimensions, and derived metrics against defined specifications.
Write and optimize advanced SQL for transformation, aggregation, and data quality validation across large, multi-tenant datasets.
Work hands-on with AWS: S3, Glue, Athena, Redshift, Step Functions, Lambda, IAM, Lake Formation, and CloudWatch.
Onboard new customer data sources by extending existing configuration-driven pipelines, and verify each onboarding against defined acceptance criteria.
Build automated data quality checks, reconciliation queries, and monitoring so that pipeline failures are caught and diagnosed quickly.
Investigate and resolve data issues end to end - from source system behaviour through ingestion and transformation to the final reported number.
Contribute to infrastructure as code (AWS CDK or Terraform) for the pipelines and resources you work on.
Support dashboard and reporting development in QuickSight or Tableau, ensuring the underlying data models serve them correctly.

What We’re Looking For:

3+ years of hands-on data engineering experience building and operating production data pipelines.
Advanced SQL. You are comfortable with window functions, CTEs, complex joins, and query performance tuning, and you can debug a wrong number by reading the query plan and the data.
2+ years of hands-on AWS experience, including S3, Glue, Athena or Redshift, IAM, and at least one orchestration service such as Step Functions, or Airflow.
2+ years building ETL/ELT pipelines with dbt, or equivalent transformation frameworks, including incremental models and testing.
2+ years working with cloud data warehouses ; Redshift, or Snowflake - including dimensional modeling with star schemas and query optimization.
Solid Python for data work: API integrations, data processing scripts, and pipeline code.
Experience with Git-based workflows, code review, and CI/CD for data pipelines.
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.

Bonus:

Experience integrating Salesforce data, including the REST and Bulk APIs, Change Data Capture, and Salesforce data models and objects.
Familiarity with fundraising or nonprofit sector data, or CRM and ERP data models more generally.
Experience with open table formats such as Apache Iceberg, or Delta Lake
Experience with multi-tenant data platforms and tenant isolation patterns.
Experience with infrastructure as code, particularly AWS CDK.
Experience with BI development in QuickSight or Tableau.

Compensation Range: $120,000 - $135,000 CAD OTE annually, based on experience, market benchmarks and role complexity. We aim to offer fair, competitive pay that reflects your skills and the market.

This advertised position is for an existing vacancy at Kindsight. At Kindsight, we’re proud to be a place where everyone belongs and has an equal opportunity to contribute, thrive and grow. We hire based on skills, potential, and impact, and we believe our differences fuel innovation. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. We’re building a workplace where everyone has the opportunity to do meaningful work and make a difference.

We leverage artificial intelligence (AI) tools to support certain aspects of our recruitment process. These tools may help with resume screening, drafting job descriptions, creating interview questions and occasionally identifying potential candidates. All hiring decisions are made by our people, not AI. Our intent is to use AI thoughtfully to streamline administrative tasks, improve the candidate experience and support fair, unbiased hiring practices consistent with industry standards.

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More about this job

Responsibilities

You will build and maintain ELT pipelines to ingest customer data into an AWS data lake and transform it using dimensional modeling. Additionally, you will optimize SQL queries, ensure data quality, and contribute to infrastructure as code to support analytics products.

Requirements

The role requires at least 3 years of data engineering experience and 2 years of hands-on experience with AWS and cloud data warehouses. Candidates must possess advanced SQL skills, proficiency in Python, and experience with transformation frameworks like dbt.

Skills

Data Engineering
SQL
AWS
Python
dbt
Redshift
Snowflake
ETL
ELT
Data Warehousing
Dimensional Modeling
Git
CI/CD
Infrastructure as Code
Salesforce
Data Pipelines

Remote locations

Canada
United States

Remote locations (standardized)

Canada
United States

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AWS
S3
Glue
Athena
Redshift
Snowflake
dbt
SQL
Python
ELT
ETL
Dimensional Modeling
Salesforce
Infrastructure as Code
Terraform
AWS CDK
QuickSight
Tableau
Git
CI/CD
Data Lake
Medallion Architecture
Change Data Capture
Multi-tenant Analytics
Data Quality
API Integration
CRM
Nonprofit
Fundraising

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