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1,256

Data Engineer jobs in Canada

Senior Software Engineer - Data Engineer: Python/Scala Developer with Spark and Snowflake

Capgemini

Brampton
On-site
CAD 85,000 - 110,000
30+ days ago
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Senior Machine Learning Engineer - Remote Growth & Impact

ODAIA

Toronto
Remote
CAD 135,000 - 165,000
7 days ago
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Hockey Data Engineer - NHL

Edmonton Oilers

Alberta
Hybrid
CAD 80,000 - 100,000
30+ days ago

Senior Data Engineer

Loopio Inc.

Toronto
Hybrid
CAD 90,000 - 120,000
30+ days ago

AI and Data Engineer

Monark Group

White Rock
On-site
CAD 70,000 - 90,000
30+ days ago
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Data Engineer

Ace1Media

Vancouver
On-site
CAD 70,000 - 95,000
30+ days ago

Ingénieur.e de données senior / Senior Data Engineer

Potloc

Montreal (administrative region)
On-site
CAD 80,000 - 100,000
30+ days ago

Sr. Software Engineer - Data Platform

Rivian

Vancouver
On-site
CAD 96,000 - 121,000
30+ days ago
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Data Engineer - Temporary

TeraWatt Infrastructure

Alberta
On-site
CAD 55,000 - 75,000
30+ days ago

Staff Data Engineer

Infoblox

Burnaby
On-site
CAD 135,000 - 205,000
30+ days ago

Sr. Data Engineer

Colossyan

Toronto
Hybrid
CAD 150,000 - 180,000
30+ days ago

RQ09118 - DataOps/Cloud Data Engineer - Senior

Rubicon Path

Toronto
On-site
CAD 100,000 - 130,000
30+ days ago

RQ08895 - DataOps/Cloud Data Engineer - Senior

Rubicon Path

Toronto
Hybrid
CAD 90,000 - 120,000
30+ days ago

Senior Software Engineer, Data Platforms

Lyft

Toronto
On-site
CAD 136,000 - 170,000
30+ days ago

Lead Data Engineer - GCP

Scotiabank

Toronto
On-site
CAD 120,000 - 150,000
30+ days ago

Senior Data Engineer, LUS

Lyft

Toronto
On-site
CAD 136,000 - 170,000
30+ days ago

Senior Consultant - Data Engineer (Data Conversion & Reconciliation)

Deloitte Canada

Toronto
Hybrid
CAD 80,000 - 138,000
30+ days ago

Data Engineer

Medium

Canada
Remote
CAD 88,000 - 127,000
30+ days ago

Staff Data Engineer - Canada

NerdWallet

Canada
Remote
CAD 100,000 - 130,000
30+ days ago

Senior Data Engineer, Corporate Data and Analytics

Lyft

Toronto
On-site
CAD 136,000 - 170,000
30+ days ago

Staff Software Engineer, Data Systems (Python)

Northbeam

Canada
Remote
CAD 261,000 - 303,000
30+ days ago

Staff Software Engineer - Data & ML Infrastructure

Advanced Micro Devices

Markham
On-site
CAD 80,000 - 110,000
30+ days ago

Data Engineer

Medium

Toronto
On-site
CAD 80,000 - 110,000
30+ days ago

Staff Engineer, Data Platform

GlossGenius

Canada
Remote
CAD 100,000 - 130,000
30+ days ago

Data Engineer

Nexus Systems Group Inc.

Mississauga
Hybrid
CAD 100,000 - 120,000
30+ days ago

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Senior Software Engineer / Data Engineer / Python/Scala Developer with Spark and Snowflake
Capgemini
Brampton
On-site
CAD 85,000 - 110,000
Full time
30+ days ago

Job summary

A global technology consulting firm is seeking a Senior Software Engineer specialized in data engineering, particularly with expertise in Python/Scala and big data technologies like Spark and Snowflake. The ideal candidate will have 7-10 years of experience, strong analytical skills, and a Bachelor's degree. This role involves implementing AWS Big Data solutions while leveraging CI/CD practices. This firm values diversity and offers opportunities for growth in a supportive environment.

Qualifications

  • 7-10 years of experience, with at least 3 years in a relevant role.
  • Certification: Should have SE Level 1 and seeking Level 2.
  • Excellent analytical and problem-solving skills.

Responsibilities

  • Implement AWS Big Data Lake using EMR and Spark.
  • Develop data pipelines using Python, Scala, SQL.
  • Deploy real-time data streams in a cloud-native infrastructure.

Skills

Business Analysis
Software Engineering
Data Management
Technical Solution Design

Education

Bachelor’s degree

Tools

Spark
Snowflake
AWS
GitLab
Job description
Job Description

Senior Software Engineer – Data Engineer: Python/Scala Developer with Spark and Snowflake (053491)

Responsibilities
  • Hands‑on experience implementing an AWS Big Data Lake using EMR and Spark.
  • Working experience with Spark, Hive, message queue or Pub/Sub, and streaming technologies (3+ years).
  • Experience developing data pipelines using languages such as Python, Scala, SQL and open‑source frameworks for data ingest, processing, and analytics.
  • Leveraging open‑source big data processing frameworks such as Apache Spark, Hadoop, and streaming technologies such as Kafka.
  • Hands‑on experience with newer technologies relevant to the data space such as Spark, Airflow, Apache Druid, Snowflake (or any other OLAP database).
  • Developing and deploying data pipelines and real‑time data streams within a cloud‑native infrastructure, preferably AWS.
  • Using CI/CD pipelines (GitLab).
  • Implementing code quality tools such as PEP8/Pylint or other code quality tools.
  • Experience with Python plugins/operators such as FTP sensor, Oracle operator, etc.
  • Implementing industry standards/best practices.
  • Excellent analytical and problem‑solving skills.
  • Excellent verbal and written communication skills.
  • Flexibility to work across this delivery landscape which includes and is not limited to Agile application development, support and deployment.
Qualifications
  • 7‑10 years of experience (3 years minimum relevant experience in the role) and a Bachelor’s degree.
  • Certification: Should have SE Level 1 and seeking Level 2.
  • Proficient in Business Analysis, Business Knowledge, Software Engineering, Testing, Data Management, Architecture Knowledge, and Technical Solution Design.
Legal and Equal Opportunity Statement

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity or expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the duties, responsibilities and qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced to communicate the manner in which this position is traditionally performed. Whenever necessary, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50‑year+ heritage and deep industry‑specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries. With Altran, the Group reported 2019 combined revenues of €17 billion.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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