Find work in Canada.

555,946 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added just now
CA
Mechanical / Industrial Design Engineer
Canobi AgTech
ON · Ontario, Canada
- Full-time
…in Mechanical or Industrial Design Engineering to join our product development team, covering 3D design, mechanical/industrial design, and prototyping support for our vertical farming and…
Added 15 mins ago
B
AI Trainer: Mechanical Engineers CAD
Brunel
Remote, Canada
- $40 to $125 USD / hour
- Full-time
- Remote
2+ years of professional mechanical engineering experience in design, product development, manufacturing, thermal systems, structural engineering, automotive, aerospace, HVAC, robotics,…
Added 1 hour ago
MA
Senior Software Engineer
Milya AI
Montreal, QC
- Full-time
Role Description As a Senior Software Engineer at Milya AI, you will design, build, and maintain production-grade software systems that power our AI-driven dental solutions. You will…
Added 1 hour ago
H
Data Engineer
HCLTech
Vancouver, BC
- Full-time
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
Added 1 hour ago
P
Junior Solutions Engineer
Pontosense
Toronto, ON
- Full-time
You are the technical bridge between our largest partners and the product they build on.
Added 1 hour 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 2 hours ago
AC
UWB/CSS Ranging & Positioning Engineer
Amaris Consulting | Part of Mantu
Montreal, QC
- Full-time
Added 2 hours ago
H
Field Application Engineer - Canada
Hoymiles
Canada
- Full-time
Deliver product training and technical presentations to customers, distributors, and installation partners.
Added 2 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
…resolving systemic service issues. The team is responsible for all product lines (Machines, Molds, 3rd Party Hot runners, Controllers, and Auxiliaries) and works cohesively with a variety…
Added 2 hours ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
We have an opening for a Mechanical / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 3 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 4 hours ago
HE
RF Engineer
Holt Executive Ltd
Gatineau, QC
- Full-time
This is a hands-on, product-focused position suited to an engineer with strong RF hardware knowledge who is comfortable working across systems engineering, product development,…
Added 5 hours ago
A
Linear Programming Engineer- Candidate must relocate to Saudi Arabia
aramco
Calgary, AB
- Full-time
Analyze Product giveaway root causes and develop solutions through working with multidisciplinary team to ensure optimum operations.
Added 7 hours ago
B
Building Science Engineer
BPA
Montreal, QC
- Full-time
We are seeking a Building Science Engineer who is passionate about the performance of existing buildings and the quality of the built environment. Reporting to the Project Director, the…
Added 7 hours ago
T
QA Engineer- Salesforce Marketing Cloud (SFMC)
Tru
Toronto, ON
- Full-time
Job Title: QA Engineer- Salesforce Marketing Cloud (SFMC)
Added 8 hours ago
SG
Software Engineer – Full-Stack (React, TypeScript, Java)
S&P Global
Toronto, ON
- Full-time
Architect and own full-stack product features end-to-end - from design and implementation through automated testing and production support - maintaining accountability for quality,…
Added 8 hours ago
T
DevOps Engineer
TD
Toronto, ON
- Full-time
We are seeking a DevOps Engineer to build, maintain, and support modern DevOps platforms on Microsoft Azure, with a strong focus on AKS-based workloads, CI/CD automation, and cloud-native…
Added 8 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
…resolving systemic service issues. The team is responsible for all product lines (Machines, Molds, 3rd Party Hot runners, Controllers, and Auxiliaries) and works cohesively with a variety…
Added 8 hours ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
We have an opening for a Mechanical / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 9 hours ago
T
DevOps Engineer
TD
Toronto, ON
- Full-time
We are seeking a DevOps Engineer to build, maintain, and support modern DevOps platforms on Microsoft Azure, with a strong focus on AKS-based workloads, CI/CD automation, and cloud-native…
Added 10 hours ago
MM
Manufacturing Engineer II
Modine Manufacturing Company
Calgary, AB
- Full-time
…Manufacturing, Six Sigma, 5S, and other CI methodologies to improve product quality, process reliability, operational efficiency, and overall manufacturing…
Added 10 hours ago
J
QA Test Engineer, Industrial
Jobgether
Canada
- Full-time
We are seeking an experienced QA Test Engineer (SDET) to establish and own automated test coverage for industrial software connectors and data integrations. In this hands-on engineering…
Added 11 hours ago
AI
Systems Verification & Validation Engineer
Aversan Inc.
Mill Bay, BC
- $95,000 to $115,000 CAD / year
- Full-time
Systems Verification & Validation Engineer to join our specialized team. This role is responsible for designing, conducting, and reporting on IVVQ (Integration, Verification, Validation,…
Added 11 hours ago
IG
AI Engineer
Insight Global
Toronto, ON
- $50 to $55 CAD / hour
- Contract
The AI Engineer will be supporting a large-scale transformation program. This role sits at the intersection of advanced analytics, AI, and modern data platforms, with a strong focus on…
Added 12 hours ago
S
Machine Learning Engineer
Syntrace
Toronto, ON
- Full-time
We are now hiring a Machine Learning Engineer, based in Toronto.

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