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Added 9 mins ago
Databricks Developer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
$75 to $95 CAD / hour
Contract
Our client is seeking an experienced Senior Azure Databricks Data Engineer to design, build and support scalable enterprise data pipelines and modern lakehouse solutions. The successful…
Added 2 hours ago
Snowflake Data Engineer
Rivago Infotech Inc
Toronto, ON
Contract
· Strong experience in designing and building DWH, Data lake ETL based applications with scalability and performance
Added 2 hours ago
Test Engineer - Databricks
Hays
Toronto, ON
$105,000 to $135,000 USD / year
Full-time
As a Test Engineer - Data, you will be responsible for developing and implementing automated testing frameworks for Databricks-based solutions, data pipelines, and data quality validation.…
Added 3 hours ago
GCP Senior Data Engineer
J&M Group
Canada
Contract
Develop ETL/ELT solutions using Dataflow, Spark, Pub/Sub, and BigQuery.
Added 4 hours ago
Software Engineer - Health Systems
FluidAI Medical
Kitchener, ON
We are looking for a Software Engineer to build and deliver the applications, data tools and integrations supporting FluidAI’s health systems technology initiatives. You will work across…
Added 4 hours ago
Jr. Software Engineer - Health Systems
FluidAI Medical
Kitchener, ON
We are looking for a Jr. Software Engineer to help build and deliver the applications, data tools and integrations supporting FluidAI’s health systems technology initiatives. You will work…
Added 4 hours ago
Senior Databricks Data Engineer / Solutions Architect
vikat.AI
Ottawa, ON
Contract
We’re looking for a **Senior Databricks Data Engineer / Solutions Architect** to own an **Azure Databricks Lakehouse** from data ingestion and engineering through governed data products,…
Added 4 hours ago
GCP Senior Data Engineer
Axiom Global Technologies
Canada
Contract
Build pipelines: Design and improve ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub and Cloud Functions
Added 4 hours ago
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
Contract
· Strong experience in designing and building DWH, Data lake ETL based applications with scalability and performance
Added 5 hours ago
Snowflake Engineer
Arkhya Tech Inc.
Canada
Full-time
We are seeking a Lead Data Engineer with 14+ years in IT and 10+ years specializing in data engineering to build, optimize, and maintain high-performance cloud data pipelines. You will lead…
Added 5 hours ago
Technology Lead - Databricks Admin
Infosys
Mississauga, ON
$92,740 to $123,375 CAD / year
Full-time
Databricks certifications (Admin, Associate Data Engineer, or Architect).
Added 5 hours ago
Platform Engineer - Netezza Knowledge
Zodiac Solutions, Inc
Toronto, ON
Full-time
…platform modernization, cloud migrations, Data Warehousing and ETL in a fast-paced enterprise…
Added 5 hours ago
Data Engineer
Talentmatics
Mississauga, ON
Full-time
Data Engineer | Senior Data Engineer | Lead Data Engineer | Snowflake | SQL | SSIS | ETL | ELT | Python | PySpark | Data Warehouse | Data Modeling | Capital Markets | Trading | Market Data…
Added 5 hours ago
Platform Engineer - Netezza Knowledge
Zodiac Solutions, Inc
Toronto, ON
Full-time
Experience working with: Netezza is mandatory SQL-based systems: SQL Server and Postgres SQL Data warehouses: Teradata, Redshift, Netezza ETL Tools
Added 5 hours ago
Data Engineer II (Production Support)
TD
Toronto, ON
Full-time
…profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management…
Added 6 hours ago
GCP Senior Data Engineer
Aptino, Inc.
Canada
Contract
We are looking for a GCP Senior Data Engineer – Lead with strong hands-on data engineering expertise and proven experience leading onshore/offshore data engineering teams.
Added 10 hours ago
Data Engineering, Cloud Migration & Platforms Engineer
General Motors
Markham, ON
Full-time
As a Data Engineering, Cloud Migration & Platforms Engineer, you will design, build, migrate, automate, and support data platforms and pipelines across on-premises and cloud environments.…
Added 11 hours ago
AI / Data Engineer
White Widget
MB · Back, MB
Full-time
Each engineer in White Widget takes responsibility over their code and projects. We endeavor to create code that’s clean with legibility, reusability, testability, and maintainability in…
Added 20 hours ago
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 22 hours ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Interested in joining one of Canada's top performing asset managers? We are looking for a Senior Data Integration Engineer for an existing vacancy in our IT department, Connor, Clark & Lunn…
Added 22 hours ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Interested in joining one of Canada's top performing asset managers? We are looking for a Senior Data Integration Engineer for an existing vacancy in our IT department, Connor, Clark & Lunn…
Added 23 hours ago
Senior Backend Developer - Spectra
GHGSat
Montreal, QC
Full-time
We are looking for a senior engineer who wants their work to matter, who takes pride in building software that is reliable and genuinely useful, and who makes the team around them better.
Added 1 day ago
SQL Developer / Data Engineer
TD
Toronto, ON
Full-time
Position Title: Senior SQL Developer / Data Engineer
Added 1 day ago
Senior Data Engineer
AGLC
AB · Edmonton, AB
Full-time
…innovative digital services. We are looking for a Senior Data Engineer to help shape the next evolution of our data ecosystem and lead the design of modern, scalable analytics platforms…
Added 1 day ago
AI Engineer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
$70 to $85 CAD / hour
Contract
We are looking for AI Engineer to to design and scale intelligent backend systems, machine learning pipelines, and data architectures. In this role, you will build production-grade AI…

GEI Consultants, Inc.

Data Engineer

Vaughan, ON, Canada

Pay: Pay Range For This Position: $90,000.00 – $150,000.00/year
Job type: Full-time
Apply by: Oct 17, 2026
Experience: 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
Posting language: English
Posted: Apr 7, 2026

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Original job description

Description

Your role at GEI.

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.

The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.

Essential Responsibilities & Duties

Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications

4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
Prior experience in professional services, engineering, or construction environments is a plus.
Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.

We are GEI.

Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.

We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.

With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.

Employee-owned. Employee-focused.

As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.

GEI’s Total Rewards Package Includes

Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
Pay Range For This Position: $90,000.00 – $150,000.00/year
Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
Well-Being Program and Paid Parental Leave
Commuter Benefits
Hybrid Work Schedules and Cell Phone Stipends
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
Paid Holidays and Generous Paid Time Off Program
Rewards and Recognition
GEI-Funded Profit Sharing and 401(k)
Opportunity to be an Owner and Shareholder (Learn more here)
A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
And More…

Physical Requirements

WORK ENVIRONMENT

Functional Demands

Sedentary

x

Light

Medium

Other

Activity Level Throughout Workday (check one per row)

Physical Activity Requirements

Occasional

(0-35% of day)

Frequent

(33-66% of day)

Continuous

(67-100% of day)

Not Applicable

Sitting

x

Standing

x

Walking

x

Climbing

x

Lifting (floor to waist level) (in pounds)

x

Lifting (waist level and above) (in pounds)

x

Carrying objects

x

Push/pull

x

Twisting

x

Bending

x

Reaching forward

x

Reaching overhead

x

Squat/kneel/crawl

x

Wrist position deviation

x

Pinching/fine motor skills

x

Keyboard use/repetitive motion

x

Taste or smell (taste=never)

x

Talk or hear

x

Accurate 20/40

Very Accurate 20/20

Not Applicable

Near Vision

x

Far Vision

x

Yes

No

Not Applicable

Color Discrimination

Sensory Requirements

Minimal

Moderate

Accurate

Not Applicable

Depth perception

x

Hearing

x

Environment Requirements

Occupational Exposure Risk Potential

Reasonably Anticipated

Not Anticipated

Blood borne pathogens

x

Chemical

x

Airborne communicable diseases

x

Extreme temperatures

x

Radiation

x

Uneven surfaces or elevations

x

Extreme noise levels

x

Dust/particulate matter

x

Other (exposure Risks)

Usual workday hours:

x

8

10

12

Other work hours

GEI is an AA/equal opportunity employer, including disabled and veterans.

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More about this job

Responsibilities

Design, build, and operate secure, reliable data pipelines and integrations that prepare enterprise data for AI solutions, business applications, and analytics. Maintain data stores and retrieval infrastructure, implement quality, governance, and security controls, and collaborate with AI and platform teams to monitor and optimize production data systems.

Requirements

Requires at least four years of data engineering experience, proficiency in Python and SQL, and experience building production ETL/ELT pipelines with varied data sources. Candidates should have experience with Azure data services, data modeling, governance, security, and CI/CD or infrastructure-as-code practices; Spark, Databricks, relevant certifications, and professional services or engineering experience are preferred or advantageous.

Skills

Data Engineering
Python
SQL
PySpark
Apache Spark
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL
Azure AI Search
Cosmos DB
ETL/ELT
Data Modeling
Data Governance
Infrastructure as Code
CI/CD

Benefits

Annual Performance Bonus
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Well-Being Program
Paid Parental Leave
Commuter Benefits
Cell Phone Stipend
Continuing Education Assistance
Tuition Reimbursement
Professional Development
Paid Holidays
Paid Time Off
Profit Sharing
401(k)
Employee Ownership
Flexible Work Arrangements

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
PySpark
Apache Spark
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL
Azure AI Search
Cosmos DB
Databricks
Delta Lake
Unity Catalog
ETL/ELT
Data Pipelines
APIs
Microsoft Graph Connectors
Event-Driven Architecture
Batch Processing
Stream Processing
Retrieval-Augmented Generation
Power BI
Data Modeling
Data Quality
Data Lineage
Data Governance
Terraform
Azure DevOps
Role-Based Access Control

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