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Added 13 days ago
C
Systems Developer
Co-operators
Regina, SK
- Full-time
The Systems Developer provides IT systems development and support under general supervision. The incumbent focuses on the analysis, design, development, testing, implementation,…
Added 13 days ago
A
Intern, Quantitative Analytics & Reporting (12-months)
AIMCo
Calgary, AB · AB · Edmonton
- Full-time
Strong technical skillset (SQL, Python, PowerBI, etc.) and passion in developing data-driven analytical solutions.
Added 13 days ago
A
Business Analytics Specialist, Temporary
Aviso
Toronto, ON
- Temporary
Skilled with SQL, modern BI tools and large, diverse datasets
Added 13 days ago
AI
Intermediate Data Support Analyst
AGF Investments
Toronto, ON
- Full-time
Strong knowledge and experience with relational databases. Experience in writing SQL queries to analyze data would be an asset.
Added 13 days ago
C
Analyste principal(e) en soutien applicatif – Actions
CGI
Montreal, QC
- Full-time
SQL and NoSQL – Query writing, stored procedures, and query optimization.
Added 13 days ago
MC
QA Testers
MatchBox Consulting Group
Vancouver, BC
- Contract
Basic knowledge of Database concepts (SQL queries for data validation).
Added 13 days ago
BP
Software Developer
BNP Paribas
Montreal, QC
- Full-time
Added 13 days ago
SH
Senior Manager, Analytics & Insights
SE Health
Markham, ON
- Full-time
Remain hands-on in data discovery, including working with SQL in complex or sparsely documented environments, as well as dashboard development, visualization and data storytelling.
Added 13 days ago
GI
Java Software Engineer
G-FORCE IT SERVICES INC
ON · Ontario, Canada
- Full-time
We’re looking for a skilled Java Developer to design, build, and maintain scalable, high-performance applications. You’ll work with a collaborative team of engineers, QA, and product owners…
Added 13 days ago
AP
Senior Data Engineer
Alpine Peak Management
Toronto, ON
- Contract
Advanced SQL skills, including complex transformations, data analysis, troubleshooting and query performance optimization.
Added 13 days ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Full-time
Role: Forward Deployed Engineer (Python/Pyspark Developer)
Added 13 days ago
AD
Manufacturing Applications Engineer
ArcelorMittal Dofasco
Hamilton, ON
- Full-time
A solid foundation in software development is needed to be effective in this role, although advanced development is not the primary focus (e.g., scripting, SQL, configuration, basic coding).
Added 13 days ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
Advanced SQL and strong Python skills, with experience in performance tuning on large datasets.
Added 13 days ago
II
Lead Data Scientist
iVedha Inc.
Oakville, ON
- Full-time
Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL Server, Oracle etc), programming (XML, Javascript, or ETL frameworks)
Added 13 days ago
M
Associé(e) principal(e) en automatisation de l’intelligence artificielle/Sr. Associate AI Automation Specialist
McKesson
Montreal, QC
- Full-time
…des flux de travail de plateforme. Vous utiliserez Python et SQL pour orchestrer les processus de données, automatiser l’infrastructure et les déploiements, ainsi que pour améliorer la…
Added 13 days ago
AW
Business Analytics Specialist, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Skilled with SQL, modern BI tools and large, diverse datasets
Added 13 days ago
AW
Business Analytics Specialist, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Skilled with SQL, modern BI tools and large, diverse datasets
Added 13 days ago
MT
Billing Compliance Analyst
McCarthy Tétrault LLP
Toronto, ON
- Full-time
Building and maintaining dashboards and reports using Power BI, SQL, and Power Query to support team performance and decision-making.
Added 13 days ago
TI
Software Engineer
Trimble Inc.
Kamloops, BC · Canada - Kamloops, BC
- Full-time
…development capabilities utilizing React, TypeScript, C#/.NET, and SQL Server database…
Added 13 days ago
TR
Privacy Operations Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Strong proficiency in at least one programming/scripting language (e.g., Python, SQL) and demonstrated experience building and maintaining API integrations and automated workflows (e.g.,…
Added 13 days ago
T
Data Designer I
TD
Toronto, ON
- Full-time
Strong SQL skills and experience working with ETL/data integration processes.
Added 13 days ago
T
Manager, Business Systems Analysis, TD Securities
TD
Toronto, ON
- Full-time
Added 13 days ago
NR
Sr. Microsoft Dynamics Nav BC Developer
Northern Reflections
Toronto, ON
- Full-time
Reporting to the VP, Information Technology, the Senior NAV Solutions Developer is responsible for the design, development, enhancement, and ongoing support of the organization's Microsoft…
Added 13 days ago
BC
Technical Business Analyst
BrainRidge Consulting
Moncton, NB
- Full-time
Perform data analysis and source to target data mapping using SQL to support integrations, migrations, and reporting.
Added 13 days ago
T
Intermediate Software Engineer
TekRek
Toronto, ON
- Full-time
This is a hybrid, full-time product engineering role for an intermediate full stack developer ready to own features end to end. You will take scoped work from requirements through design,…

Alpine Peak Management

Senior Data Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Apr 24, 2027
Posting language: English
Posted: Oct 26, 2026

Original job description

Role Overview

We are seeking a hands-on Senior Data Engineer for a contract opportunity supporting key enterprise data initiatives within a financial services environment.

The successful candidate will design, build and maintain data migration, integration and pipeline solutions, with a focus on Snowflake, AWS and modern data engineering practices.

Initial priorities include the Collections and LoanPro programs, with responsibility for preparing and migrating data into target platforms and establishing ongoing batch and change data capture (CDC) integrations into Snowflake.

Working closely with business stakeholders, application teams, vendors, Data Architecture and Analytics, the successful candidate will translate business and technical requirements into reliable, scalable data solutions that meet program timelines and quality standards.

The role will also contribute to broader enterprise data initiatives, including single-view-of-customer capabilities, canonical data models, reusable data assets and semantic layers that support advanced analytics and AI-enabled use cases.

We are looking for a technically strong professional who can take ownership of deliverables, solve complex data engineering challenges and work effectively across business and technology teams.

Key Responsibilities

Data Migration & Program Delivery

Investigate and profile data across existing platforms and third-party sources to understand data structures, business rules, dependencies and quality issues.
Collaborate with business stakeholders, application teams and vendors to define data requirements, source-to-target mappings, transformation rules and validation criteria.
Develop migration datasets and processes to consolidate, cleanse and transform source data to meet target platform requirements.
Execute and support migration activities, including trial loads, data validation, reconciliation, defect resolution and production cutover.
Identify and resolve data discrepancies, working with relevant teams to investigate root causes and implement remediation.
Manage assigned deliverables and dependencies against project milestones, proactively communicating progress, risks and issues requiring escalation.

Data Integration & Engineering

Design, build and maintain reliable data pipelines and integrations into Snowflake using appropriate integration tools and AWS services.
Implement batch, incremental and change data capture (CDC) pipelines based on source-system capabilities and business requirements.
Develop transformations and datasets across ingestion, curated, Gold and reporting layers.
Collaborate with Data Architecture and Analytics to align data structures, relationships, business definitions and downstream consumption requirements.
Implement data quality checks, reconciliation, monitoring, error handling and recovery processes.
Troubleshoot pipeline failures, data discrepancies and performance issues.
Support production deployments, operational readiness and ongoing maintenance.

Enterprise Data Enablement

Build reusable pipelines, transformations and datasets that support multiple programs and business requirements.
Contribute to single-view-of-customer capabilities and the implementation of canonical data models in alignment with established architecture standards.
Support the development of trusted datasets and semantic layers for self-service analytics and AI-enabled data access.
Identify opportunities to improve data quality, reuse existing data assets and establish consistent engineering patterns.

Engineering Practices & Collaboration

Take ownership of assigned deliverables from requirements clarification and technical design through development, testing, deployment and operational handover.
Adhere to established architecture, security, data governance and software development standards.
Maintain accurate source-to-target mappings, technical documentation, data definitions and operational guidance.
Apply version control, automated testing, CI/CD and deployment best practices.
Participate in technical design discussions and code reviews.
Collaborate with internal teams and external delivery partners to resolve issues, manage dependencies and meet delivery commitments.

Required Skills & Experience

Strong hands-on experience designing and delivering production data pipelines and integrations using Snowflake.
Advanced SQL skills, including complex transformations, data analysis, troubleshooting and query performance optimization.
Proven experience delivering data migrations, including source analysis, mapping, transformation, validation and reconciliation.
Experience implementing batch, incremental and/or change data capture (CDC) pipelines.
Practical experience with AWS services supporting data storage, integration, processing or orchestration.
Experience with dbt, Snowflake Openflow, Apache NiFi or comparable data integration and transformation tools.
Ability to translate business and technical requirements into effective data engineering solutions.
Solid understanding of data warehousing concepts, curated datasets and reporting layers.
Experience with version control, CI/CD, testing, monitoring and production support.
Strong analytical, problem-solving and communication skills, with the ability to manage dependencies and deliver against project timelines.

Preferred Skills & Experience

Python experience for data processing, integration or automation.
Experience working with lending, collections, customer or other financial services data.
Exposure to customer data integration, single-view-of-customer capabilities or canonical data models.
Experience developing semantic layers or working with Snowflake capabilities supporting AI-enabled analytics.

What We're Looking For

The ideal candidate combines strong technical execution with a practical, delivery-focused mindset. They can work independently, take accountability for their deliverables, navigate complex data challenges and collaborate effectively with business and technology stakeholders.

Experience delivering data migrations and production-grade Snowflake pipelines in a complex enterprise environment will be particularly valuable.

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More about this job

Responsibilities

Design, build, and maintain Snowflake data pipelines and integrations, including batch and CDC processes, and deliver data migrations from source analysis through validation and production cutover. Develop reusable, high-quality data assets and support enterprise initiatives such as canonical data models, single-view-of-customer capabilities, and semantic layers while collaborating with business and technology teams.

Requirements

Requires strong production experience with Snowflake, advanced SQL, data migrations, batch or CDC pipelines, and practical AWS experience, along with familiarity with integration tools such as dbt, Snowflake Openflow, or Apache NiFi. Candidates should be able to translate requirements into reliable solutions and have experience with data warehousing, CI/CD, testing, monitoring, and production support; Python and financial services data experience are preferred.

Skills

Snowflake
Advanced SQL
Data Migration
Data Pipeline Engineering
AWS
Change Data Capture
Batch Processing
Data Integration
Data Transformation
Data Quality
Data Reconciliation
dbt
Snowflake Openflow
Apache NiFi
CI/CD
Python

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
AWS
SQL
Data Migration
Data Integration
Data Pipelines
Batch Processing
Incremental Processing
Change Data Capture
CDC
dbt
Snowflake Openflow
Apache NiFi
Python
Data Warehousing
Data Transformation
Data Quality
Source-To-Target Mapping
Data Validation
Data Reconciliation
Canonical Data Models
Single View Of Customer
Semantic Layers
CI/CD
Version Control
Automated Testing
Monitoring
Production Support
Financial Services
AI-Enabled Analytics

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