Find work in Canada.

556,385 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 2 mins ago
M
Project Manager
Metrolinx
Toronto, ON
- Full-time
Project Management Professional (PMP), Professional Engineer (P.Eng) or Licensed Architect (OAA) designations are considered an asset
Added 2 mins ago
TP
Intermediate Pipeline Engineer
Tridyne Projects Corporation
Calgary, AB
- Full-time
Tridyne Projects is looking for an Intermediate Pipeline Engineer to join our team in downtown Calgary.
Added 2 mins ago
PI
Head of Marketing and Brand
Pack-Smart Inc.
Concord, ON
- $100,000 to $120,000 CAD / year
- Full-time
Work directly with customers, engineers, programmers and production teams. Find the applications, technical advances and customer outcomes worth showing.
Added 2 mins ago
IS
AWS DevOps Engineer
Iris Software Inc.
Toronto, ON
- Contract
Iris's client, one of the Top 5 Bank in Canada is looking to hire an AWS Cloud DevOps Engineer for a long-term contract opportunity.
Added 17 mins ago
C
Low Latency Java Developer, Vice President
Citi
Mississauga, ON
- Full-time
The Applications Development Technical Lead Analyst is a senior engineering and architectural leadership role, within the global Client Risk and Position Management technology organization.
Added 32 mins ago
E
Intermediate Structural Designer/Engineer
EXP
Markham, ON
- Full-time
Be our next Intermediate Structural Engineer!
Added 32 mins ago
Field Service Engineer- Canada
Ametek, Inc.
Canada
The Field Service Engineer is responsible for the start-up, testing, preventative maintenance, troubleshooting, and repair of critical power equipment at customer sites. This position…
Added 32 mins ago
SS
Machine Learning Engineer
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
SST is seeking a Machine Learning Software Engineer – GPU & AI Optimization to join our growing engineering team in Markham, Ontario.
Added 32 mins ago
FI
Full Stack Engineer
Flexton Inc.
Toronto, ON
- Contract
We are looking for a skilled Software Engineer with strong experience in Java, Spring MVC, JavaScript, React.js and modern web application development. The ideal candidate should have a…
Added 32 mins ago
SS
Senior Validation Engineer- Agentic AI
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
SST is seeking an experienced Senior Agentic AI – Validation & Automation Engineer to join our engineering team in Markham, Ontario.
Added 32 mins ago
C
Knowledge Graph Engineer
Centraprise
Toronto, ON
- Contract
We are seeking a Senior Full-Stack Engineer to build and maintain a knowledge graph platform for enterprise data governance. The role involves developing scalable backend services,…
Added 32 mins ago
Materials Engineer, Nuclear Industry
BWXT
Cambridge, ON
As our Materials Engineer, you will support the design, fabrication, and maintenance of nuclear pressure‑retaining components by providing expert guidance on material selection, testing,…
Added 1 hour ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 1 hour ago
C
Engineering Co-Op Student
CURA
Calgary, AB
- Volunteer
…commercial demonstration. Each co-op student is paired with a CURA engineer or scientist who acts as their mentor and day-to-day supervisor, and works as a full member of that person’s…
Added 1 hour ago
TS
Maintenance Repair Analyst
The Seaboard Transport Group
Moncton, NB
- Full-time
…theoretical engineering with practical shop reality; professional engineer, Certified Engineering Technologist/Technician, or comparable maintenance credential is an…
Added 1 hour ago
SS
Senior DevOps
Safe Software
Remote, Canada
- Full-time
- Remote
Safe Software is looking for Senior DevOps to join our DevOps team. As a Senior DevOps engineer, you will lead the design and implementation of scalable CI/CD pipelines, develop and…
Added 2 hours ago
H
Data Engineer
HCLTech
Vancouver, BC
- Full-time
Experience developing Java based applications is an added advantage.
Added 2 hours ago
Certification Engineer Co-op
Moment Energy
Surrey, BC
Moment Energy is seeking a Certification Engineering Co-op to support our Certification Engineer in researching, coordinating, and documenting the regulatory requirements that allow our…
Added 3 hours ago
Q
Senior Conversational Bot Engineer
Quantiphi
Canada
- Full-time
Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Architect design, code, test, debug and…
Added 3 hours ago
AC
UWB/CSS Ranging & Positioning Engineer
Amaris Consulting | Part of Mantu
Montreal, QC
- Full-time
Added 3 hours ago
SI
Full Stack Engineer
Stelvio Inc.
Saskatoon, SK
- Full-time
…you’ll help design, develop and maintain high-quality software…
Added 4 hours ago
M
Senior TypeScript Engineer
MapsPeople
Richmond Hill, ON
- Full-time
…customers worldwide. We are looking for a Senior TypeScript Engineer to join our team and play a key role in building and evolving our platform using a modern TypeScript-first stack,…
Added 6 hours ago
J
Power Systems Engineer II
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Power Systems Engineer II based in Canada.
Added 6 hours ago
A
Linear Programming Engineer- Candidate must relocate to Saudi Arabia
aramco
Calgary, AB
- Full-time
You will have supplementary experience in refinery overall optimization and monitoring including management of product giveaway, blending applications and mass balance performance.
Added 8 hours ago
L
Forward Deployed Engineer / Implementation Consultant, Operations Systems + AI Automation
LevelOps
Montreal, QC
- Full-time
Two profiles welcome: an ERP/MRP implementation consultant who codes and builds with AI, or a software engineer who loves clients and wants to go deep on operations systems.

HCLTech

Data Engineer

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 2, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

Job Summary

Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.

•

Build and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.

•

Develop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.

•

Optimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns

•

Contribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.

•

Partner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

Ideal Candidate Qualifications:

•

Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).

•

High proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.

•

Hands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)

•

Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.

•

Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.

•

Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.

•

Experience developing Java based applications is an added advantage.

LONGDESCRIPTION section. 2 of 6.

Section Title: Key Responsibilities

Key Responsibilities

Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.

•

Build and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.

•

Develop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.

•

Optimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns

•

Contribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.

•

Partner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

Ideal Candidate Qualifications:

•

Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).

•

High proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.

•

Hands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)

•

Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.

•

Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.

•

Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.

•

Experience developing Java based applications is an added advantage.

LONGDESCRIPTION section. 3 of 6.

Section Title: Skill Requirements

Skill Requirements

Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.

•

Build and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.

•

Develop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.

•

Optimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns

•

Contribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.

•

Partner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

Ideal Candidate Qualifications:

•

Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).

•

High proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.

•

Hands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)

•

Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.

•

Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.

•

Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.

•

Experience developing Java based applications is an added advantage.

SKILL section. 4 of 6.

Section Title: Must Have Skills

Must Have Skills

Click Enter to show the proficiency description of Data EngineeringData Engineering
Click Enter to show the proficiency description of DatabricksDatabricks
Click Enter to show the proficiency description of Apache SparkApache Spark
Click Enter to show the proficiency description of PySparkPySpark
Click Enter to show the proficiency description of PythonPython
Click Enter to show the proficiency description of CI/CDCI/CD

SKILL section. 5 of 6.

Section Title: Good to have Skills

Good to have Skills

LONGDESCRIPTION section. 6 of 6.

Section Title: Other Requirements

Other Requirements

Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.

•

Build and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.

•

Develop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.

•

Optimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns

•

Contribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.

•

Partner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

Ideal Candidate Qualifications:

•

Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).

•

High proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.

•

Hands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)

•

Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.

•

Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.

•

Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.

•

Experience developing Java based applications is an added advantage

Apply About employer

More about this job

Responsibilities

Build and maintain large-scale ETL/ELT pipelines and high-performance data processing jobs using Hadoop, Spark, PySpark, Python, and platforms such as Databricks. Optimize pipeline performance and cost, contribute to CI/CD and engineering practices, and collaborate with Product Managers to scope and develop features.

Requirements

Requires strong hands-on experience building production-grade data pipelines on Hadoop and cloud data platforms, with proficiency in Python, Spark, SQL, and related tools. Candidates should have experience with Databricks or Snowflake, orchestration tools, CI/CD practices, and debugging complex data issues; Java application development is an advantage.

Skills

Data Engineering
Databricks
Apache Spark
PySpark
Python
CI/CD
Hadoop
SQL
ETL/ELT
Apache Airflow
Apache NiFi
Hive
Impala
Snowflake
Git
Java

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Big Data
Databricks
Apache Spark
PySpark
Python
Hadoop
Cloudera
ETL/ELT
Data Pipelines
Data Ingestion
Data Transformation
Data Aggregation
SQL
Hive
Impala
Apache Airflow
Apache NiFi
Talend
Snowflake
CI/CD
DevOps
Git
Automated Testing
Deployment Automation
Observability
Pipeline Optimization
Partitioning
Java
Product Management

Report this job