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Jobs in United States

SENIOR DATA ENGINEER TSD

City of Toronto

Toronto
On-site
CAD 90,000 - 120,000
Yesterday
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Controller

Intello Technologies Inc.

Vancouver
Remote
CAD 99,000 - 149,000
Yesterday
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Indigenous Advisor and Community Liaison

College of New Caledonia

Vanderhoof
On-site
CAD 60,000 - 80,000
Yesterday
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Teaching Assistant

Polaris Community

Brampton
On-site
CAD 33,000 - 46,000
Yesterday
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SEM Specialist

UNAVAILABLE

Toronto
On-site
CAD 50,000 - 70,000
Yesterday
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Product and Sales Support Specialist - Canada Region Graduate Program

CLAAS Industrietechnik GmbH

Manitoba
Hybrid
CAD 50,000 - 65,000
Yesterday
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Recruiting Construction Adjudicators

Nova Scotia Barristers' Society

Nova Scotia
On-site
CAD 60,000 - 80,000
Yesterday
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Seasonal Sales Consultant, Prairie Mall

Bell

Grande Prairie
On-site
CAD 60,000 - 80,000
Yesterday
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Department Assistant - Part-Time (75% FTE), Fully On-Site

University of Toronto

Toronto
On-site
CAD 60,000 - 80,000
Yesterday
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Gréeur (Rigger)- temps partiel

Encore Global

Montreal
On-site
CAD 73,000 - 99,000
Yesterday
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Warehouse Technician

Technical Support Group Staffing Services Ltd.

Calgary
On-site
CAD 30,000 - 60,000
Yesterday
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Senior Analyst, Analytics & risks, CIBC Asset Management – Bilingual

Canadian Imperial Bank of Commerce

Toronto
On-site
CAD 70,000 - 90,000
Yesterday
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Junior Project Manager (eCommerce)

24 Seven

Toronto
On-site
CAD 50,000 - 70,000
Yesterday
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ParaTough Cup Volunteers

SIRC

Richmond
On-site
< CAD 30,000
Yesterday
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Consultant(e) chaine d’approvisionnement D365 F&O (support) | Supply Chain Consultant D365 F&O [...]

Talan Group

Montreal
On-site
CAD 70,000 - 90,000
Yesterday
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2026 Winter Co-op Data Engineering Software Developer

General Motors

Markham
Hybrid
CAD 50,000 - 70,000
Yesterday
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Central Office Technician

Anistar Technologies

Windsor
On-site
CAD 30,000 - 60,000
Yesterday
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Senior Market Manager, Network Evolution & Customer Transition - Consumer Base Management (18-Month

Intello Technologies Inc.

Burnaby
Hybrid
CAD 90,000 - 134,000
Yesterday
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Urologist

Manitoba Health

Winnipeg
On-site
CAD 250,000 +
Yesterday
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Principal, Project Management Corporate Functions Transformation and ERP Program (18 months)

Export Development Canada

Halifax
Hybrid
CAD 109,000 - 147,000
Yesterday
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Paralegal

Wolastoqey Nation in New Brunswick (WNNB)

Fredericton
On-site
CAD 60,000 - 80,000
Yesterday
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Dietary Aide

Winnipeg Regional Health Authority

Emerson
On-site
CAD 35,000 - 45,000
Yesterday
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Senior Compliance Officer, Trade Surveillance (OTC)

Scotiabank

Toronto
On-site
CAD 80,000 - 100,000
Yesterday
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Fresh Production Manager (Backshift)

Albert Bartlett

Airdrie
On-site
CAD 65,000 - 85,000
Yesterday
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Software Dev Engineer II, Offers Platform, Catalog Systems, ASCS

Amazon

Vancouver
On-site
CAD 160,000 - 268,000
Yesterday
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SENIOR DATA ENGINEER TSD
City of Toronto
Toronto
On-site
CAD 90,000 - 120,000
Full time
Yesterday
Be an early applicant

Job summary

A major Canadian city in Toronto is seeking a skilled Senior Data Engineer to join their Enterprise Data Platform team. This position involves designing and implementing AWS-based data solutions that enhance city services. The ideal candidate should possess strong AWS and Python skills, with a background in data engineering and a commitment to building efficient data infrastructures. Join a dynamic team dedicated to making a meaningful impact in the community.

Benefits

Opportunity for professional growth
Collaborative work environment
Impactful projects in community

Qualifications

  • 5+ years of experience in data engineering or related fields.
  • Deep expertise in AWS technologies, particularly in data-related services.
  • Strong proficiency in Python for data processing.

Responsibilities

  • Utilize AWS services to build and maintain data infrastructure.
  • Design and implement ETL/ELT processes using AWS Glue and Apache Spark.
  • Contribute to the implementation of a data mesh architecture.

Skills

AWS Technologies
Python Programming
Data Mesh Architecture
Apache Spark
ETL/ELT Processes
Infrastructure as Code
Data Governance
Problem-Solving
Communication Skills

Education

Bachelor's degree in Computer Science or related field
Master's degree (preferred)

Tools

AWS Glue
Terraform
DBT
DataBricks
Snowflake
Job description

The City of Toronto is seeking a skilled and experienced Senior Data Engineer to join our Enterprise Data Platform team. This role is vital in supporting the design, development, and implementation of our Enterprise Data Platform. The ideal candidate will have a strong background in AWS technologies, data engineering, and modern data architectures.

As a Senior Data Engineer at the City of Toronto, you will have the opportunity to work on cutting-edge data solutions that directly impact the lives of Toronto's residents. You'll be part of a team driving the city's digital transformation, working on projects that enhance city services and operations through innovative data utilization.

You'll work in a collaborative environment that values your expertise and provides opportunities for professional growth. If you're passionate about leveraging data and AWS technologies to create meaningful change, we encourage you to apply and be part of our mission to build a smarter, more connected Toronto.

Key Responsibilities:
  • Utilize a wide range of AWS services to build and maintain scalable, secure, and efficient data infrastructure. Key services include S3, Redshift, Kinesis, EMR, Glue, Data Zone, Lake Formation, and CloudFormation.
  • Design, implement, and maintain robust ETL/ELT processes using tools such as AWS Glue, DBT (Data Build Tool), and Apache Spark.
  • Contribute to the implementation of a data mesh architecture, enabling decentralized, domain-oriented data ownership and management.
  • Develop and maintain infrastructure as code using Terraform or AWS CloudFormation to automate and streamline the deployment of cloud resources.
  • Utilize Python and Apache Spark for large-scale data processing, transformation, and analysis.
  • Design and implement efficient data models to support analytics, machine learning, and reporting needs.
  • Develop and maintain both batch and real-time data streaming solutions using technologies such as AWS Kinesis.
  • Implement and adhere to data governance policies to ensure data quality, privacy, and compliance with regulations.
  • Work with technologies such as Databricks and Snowflake to enhance the capabilities of the data platform.
  • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide tailored solutions.
  • Create and maintain comprehensive documentation for data processes, pipelines, and models. Share knowledge with team members and contribute to the team's overall growth.
Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
  • 5+ years of experience in data engineering or related fields.
  • Deep expertise in AWS technologies, particularly in data-related services (S3, Redshift, Kinesis, EMR, Glue, etc.).
  • Strong proficiency in Python programming, especially for data processing tasks.
  • Experience with big data processing frameworks, particularly Apache Spark.
  • Hands-on experience with ETL/ELT processes and tools like AWS Glue and DBT.
  • Solid understanding of data modeling concepts and techniques.
  • Experience with infrastructure as code, preferably using Terraform or AWS CloudFormation.
  • Familiarity with data governance principles and privacy regulations (e.g., GDPR, CCPA).
Preferred Qualifications:
  • Master's degree in a relevant field.
  • AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Big Data - Specialty).
  • Experience with data mesh architecture concepts and implementation.
  • Knowledge of other cloud platforms (e.g., Azure, GCP) for multi-cloud strategies.
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes).
  • Experience with CI/CD practices and tools.
  • Understanding of machine learning workflows and MLOps practices.
Key Skills:
  • Strong problem-solving and analytical skills
  • Excellent communication skills, able to explain complex technical concepts to non-technical stakeholders
  • Self-motivated with the ability to work independently and as part of a team
  • Attention to detail and commitment to delivering high-quality work
  • Adaptability and willingness to learn new technologies and methodologies
  • Time management skills and ability to handle multiple projects simultaneously
Equity, Diversity and Inclusion

The City is an equal opportunity employer, dedicated to creating a workplace culture of inclusiveness that reflects the diverse residents that we serve.

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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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