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2,912

Data jobs in United States

L4 Data Management (Data Engineer)

Intello Technologies Inc.

Toronto
Hybrid
CAD 104,000 - 156,000
10 days ago
I want to receive the latest job alerts for “Data” jobs

Data Scientists and Data Analysts (Various levels)

Cse Cst

Ottawa
Hybrid
CAD 80,000 - 100,000
11 days ago

Senior Data Engineer, Corporate Data and Analytics

Lyft

Toronto
Hybrid
CAD 136,000 - 170,000
11 days ago

Data Scientist, Non-Financial Risk Data Analytics and Valorization

Desjardins Group

Lévis
On-site
CAD 85,000 - 105,000
13 days ago

Data Scientist, Non-Financial Risk Data Analytics and Valorization

Desjardins Group

Montreal
Hybrid
CAD 80,000 - 110,000
13 days ago
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Data Strategist / Product Data Strategist - Partner Solutions

Intello Technologies Inc.

Toronto
Hybrid
CAD 102,000 - 154,000
13 days ago

Success Architect - Agentforce + Data Cloud (French Speaking)

Salesforce, Inc..

Toronto
Hybrid
CAD 100,000 - 150,000
8 days ago

Analyst, Supply Chain & Master Data Process Support

Tevapharm

Toronto
Hybrid
CAD 70,000 - 90,000
8 days ago
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Product Data Services Associate - 12 Month Contract

Kohl & Frisch Ltd

Vaughan
On-site
CAD 55,000 - 75,000
8 days ago

Manager, Compliance and AML Data

Scotiabank

Toronto
On-site
CAD 85,000 - 110,000
8 days ago

Data Architect / Modeler

Deloitte Canada

Toronto
Hybrid
CAD 72,000 - 138,000
8 days ago

Director of Loyalty, Insights & Customer Data

Chatters Limited Partnership

Mississauga
On-site
CAD 100,000 - 120,000
8 days ago

VP, Data & Analytics

S.i. Systems

Toronto
On-site
CAD 150,000 - 200,000
8 days ago

Practice Intelligence Data Specialist

Perkins&Will

Toronto
On-site
CAD 85,000 - 115,000
8 days ago

Data Analyst, Client Insights and Analytics - New Graduate

Scotiabank

Toronto
On-site
CAD 60,000 - 75,000
8 days ago

Process Engineering Analyst Co-op, Continuous Improvement & Data Insights - 12 Months

Canadian Imperial Bank of Commerce

Toronto
Hybrid
CAD 125,000 - 150,000
8 days ago

Field Services Coordinator

Upstream Data Inc.

City of Lloydminster
On-site
CAD 60,000 - 80,000
8 days ago

Account Executive, CoStar Data & Analytics - Toronto, Canada

CoStar Group

Toronto
On-site
CAD 80,000 - 100,000
8 days ago

Data Analyst -1

Kastech Software Solutions Group

Toronto
On-site
CAD 60,000 - 80,000
8 days ago

Data Science, AI, and Machine Learning Lead

Sanofi

Toronto
On-site
CAD 125,000 - 150,000
8 days ago

Lead Data Support Analyst

TEEMA Solutions Group

Toronto
Hybrid
CAD 90,000 - 120,000
8 days ago

Data Architect/Modeller - Senior

LanceSoft Inc

Toronto
On-site
CAD 100,000 - 130,000
8 days ago

AWS Data Engineer

Epsilon Solutions Ltd

Toronto
On-site
CAD 80,000 - 100,000
8 days ago

Technical Business Analyst - ERP Data Migration (contract)

Teck Resources

Vancouver
Hybrid
CAD 60,000 - 80,000
8 days ago

Senior DataOps/Cloud Data Engineer

Cynet systems Inc

Toronto
On-site
CAD 80,000 - 110,000
8 days ago

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L4 Data Management (Data Engineer)
Intello Technologies Inc.
Toronto
Hybrid
CAD 104,000 - 156,000
Full time
11 days ago

Job summary

A leading telecommunications company in Toronto is seeking a Data Engineer to build high-quality data pipelines. The role involves close collaboration with data scientists and business stakeholders to implement robust data solutions. Ideal candidates should have a Bachelor's degree in Computer Science or Engineering and over 5 years of experience in data engineering. Key responsibilities include designing data solutions and ensuring data availability for analytics. This position offers a competitive salary and flexible work options.

Benefits

Comprehensive total rewards package
Minimum 3 weeks of vacation
Flexible benefits plan
Generous pension and share purchase programs
Career growth and learning opportunities

Qualifications

  • 5+ years of IT platform implementation experience.
  • Deep understanding of data engineering principles.
  • Strong systems design experience for complex data flows.

Responsibilities

  • Lead the design and deployment of data pipelines.
  • Collaborate with stakeholders to understand data requirements.
  • Ensure the quality and availability of data for analytics.

Skills

Data engineering principles
Python
SQL
Dataflow
Spark
Kafka
Cloud computing (GCP/AWS/Azure)
Data manipulation libraries (e.g., Pandas)
Analytical skills

Education

Bachelor's degree in Computer Science or Engineering

Tools

Google Cloud Platform (GCP)
Databricks
Terraform
Job description

Select how often (in days) to receive an alert:

Jobs by Category: Technology Solutions

Job Function: Data Science

Status: Full Time

Schedule: Regular

Join our team and what we'll accomplish together

The Data Strategy & Enablement (DSE) team is on a mission to make TELUS a world-class leader in data solutions. We're the architects of the future, building the unified, scalable data platforms and pioneering the data-product culture that powers decisions and innovation across the entire organization. Our work is the bedrock upon which advanced analytics and game-changing AI are built.


As a Data Engineer on our team, you will be at the heart of this transformation. You will apply your expert knowledge of data systems, architecture, and software development to build and deploy the robust, high-quality data pipelines that fuel our business. You'll collaborate closely with data scientists, ML engineers, architects, and business stakeholders, turning complex data challenges into reliable, scalable, and automated data solutions.

What you will do
  • Partner with business and technology stakeholders to understand data requirements and translate them into technical designs for resilient, high-performance data pipelines
  • Lead the design, development, and deployment of sophisticated data ingestion, transformation, and delivery solutions using modern, cloud-native technologies
  • Develop and maintain robust, scalable data pipelines for continuous and reliable data flow, ensuring the quality and availability of data for machine learning models, analytics, and critical business operations
  • Work with diverse and complex datasets, engineering elegant solutions to extract, model, and prepare data for a variety of downstream use cases
  • Architect and implement the transformation and modernization of our data solutions, leveraging Google Cloud Platform (GCP) native services and other leading-edge data technologies
  • Identify opportunities for and implement automation in the development and production lifecycle to improve efficiency, reliability, and speed
  • Champion and implement best practices in software engineering, data engineering, and data management within the team
  • Continuously assess the evolving data technology landscape and identify new opportunities to drive innovation and efficiency
What you bring
  • A proven track record of designing, building, and deploying data pipelines and solutions that deliver tangible business value, reflected in your 5+ years of IT platform implementation experience
  • Bachelor's degree in Computer Science, Engineering, or an equivalent field
  • Deep understanding and hands-on experience in data engineering principles and best practices, with advanced knowledge of Dataflow, Spark, or Kafka
  • Strong systems design experience with the ability to architect, document, and explain complex system interactions, data flows, and APIs
  • Excellent communication skills, with the ability to articulate complex data concepts and solutions clearly to diverse technical and non-technical audiences
  • Advanced experience with Python and mastery of data manipulation libraries (like Pandas), paired with strong SQL skills for complex querying and data analysis
  • Familiarity with at least one major cloud computing platform (GCP, AWS, Azure), with practical experience deploying data solutions
  • Strong analytical and problem-solving skills, with a talent for translating complex business needs into scalable and maintainable data solutions
  • A passion for innovation, a results-oriented mindset, an agile approach with a bias for action, and a change agent mentality

Great-to-haves

  • GCP Professional Data Engineer certification
  • Practical experience with Databricks, Azure, or AWS data services
  • An understanding of telecommunications data models or TMF standards
  • Experience in MLOps, supporting the data infrastructure required for machine learning workflows
  • Familiarity with Infrastructure as Code (e.g., Terraform) and CI/CD practices
Salary Range: $104,000-$156,000

Performance Bonus or Sales Incentive Plan: 15%

Actual total compensation will be determined based on factors such as knowledge, skills, performance and experience. In addition, TELUS offers rewarding benefitssuch as:

  • Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
  • Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
  • Generous company matched pension and share purchase programs
  • Opportunity to give back to communities in which we work, live and serve
  • Career growth and learning & development opportunitiestodevelop your skills
  • And much more …
A bit about us

We’re a people-focused, customer-first, purpose-driven team who works together every day to innovate and do good. We improve lives through our technology solutions and foster a culture of innovation that empowers team members to solve complex problems and create remarkable human outcomes in a digital world.

You’ll find our engaging, high-performance culture personally fulfilling, professionally challenging, and financially rewarding. We’re committed to diversity and equitable access to employment opportunities based on ability. Your unique contributions and talents will be valued and respected here. When you join our team, you’re helping us make the future friendly.

Note for Quebec candidates: if knowledge of English is required for this position, it is because the team memberwill be asked, on a regular basis, to interact in English with external or internal parties or to use English applications or software as part of their tasks.

Technology Solutions

We’re into seeing where technology can take us, so if you have ever imagined what the future of supply chain management, cybersecurity, the cloud and Internet of Things will look like, we want you to be part of the team that makes it happen.

We are honoured to be recognized

5G
TELUS’s fastest network. 5G enables a superior experience with fast downloads and richer multimedia applications

6
Innovation centres across Canada that bring our team members together with customers, partners, start ups, universities, hospitals and fellow colleagues to tackle some of the biggest technological hurdles Canada will face in the near future.

Accessibility

TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

We offer accommodation for applicants with disabilities, as required, during the recruitment process.

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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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