ZipRecruiter

Log In

1

Data Engineer Project Jobs in Toronto, ON (NOW HIRING)

Talent To Hire Inc.

Senior Data Engineer

Toronto, ON · Remote

CA$110K - CA$145K/yr

Lead or support migration projects to cloud-based platforms. * Mentor junior engineers and promote engineering best practices. What You'll Bring: * 8+ years of data engineering experience. * Strong ...

Fitch Solutions

Principal Data Engineer

Toronto, ON · On-site

... projects that matter to our organization and clients. We are also proud to be recognized by Built ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

Citi

Senior Data Engineer - Python

Mississauga, ON · On-site

CA$120K - CA$170K/yr

We are seeking a skilled and experienced Senior Data Engineer with strong Python expertise to join ... projects. Experience working in regulated or highly process-oriented environments, preferably ...

Citi

Senior Data Engineer - Python

Mississauga, ON · On-site

CA$120K - CA$170K/yr

We are seeking a skilled and experienced Senior Data Engineer with strong Python expertise to join ... world projects. * Experience working in regulated or highly process-oriented environments ...

United Airlines

Senior GCP Data Engineer

Mississauga, ON

CA$120K - CA$140K/yr

... projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of ...

Vangard, Inc.

Sr Data Engineer, Specialist

Toronto, ON

CA$90K - CA$140K/yr

We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data ... Special Projects: * Participate in strategic initiatives such as AI readiness, data unification ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · On-site

Lead a team of Data Engineers in building/maintain ETLs for internal RBC teams. * Mentor team ... Supporting project team to scale, monitor and operate data platforms for very high availability and ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · On-site

This project focuses on advancing NextGen compute and engineering capabilities on public cloud and on-prem infrastructure, establishing data pipelines and feature stores with integrated data quality ...

GFL Environmental

Senior Data Engineer

Vaughan, ON · On-site

Take full ownership of projects and have the autonomy to drive them from inception to completion ... A "Day in the Life" of a Senior Data Engineer: * Design, develop, and maintain scalable, real-time ...

Royal Bank of Canada

Senior Data Engineer

Toronto, ON · On-site

... tasks or projects requiring advanced problem solving and decision making, navigating ambiguity Collaborates with business and technology teams to design and implement data solutions, ensuring ...

Royal Bank of Canada

Senior Data Engineer

Toronto, ON · On-site

The engineer will follow end-to-end process standards and guidelines to ensure accurate and efficient build out of data pipeline architecture within project timeframes. What will you do? * Design and ...

previous pagenext page

Showing results 21-40

All JobsData Engineer Project JobsData Engineer Project Jobs in Toronto, ON

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What are popular job titles related to Data Engineer Project jobs in Toronto, ON?

For Data Engineer Project jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Engineer Project jobs in Toronto, ON look for?

The top searched job categories for Data Engineer Project jobs in Toronto, ON are:

Data Engineer Project jobs near you
Infographic showing various Data Engineer Project job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Toronto, ON • Remote

Talent To Hire Inc.
See more jobs at Talent To Hire Inc.external

CA$110K - CA$145K/yr

Full-time

Re-posted 6 days ago

Job description

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid)

Our client is interviewing to onboard a Senior Data Engineers to join their Data & Analytics team within the Wealth Technology group. We are looking for Data Engineers with proven track record working within the Wealth Mgmt. / Financial sector. You’ll help build and optimize scalable data pipelines, support data governance, and enable advanced analytics across the organization. Be part of a high-impact team driving data innovation in the wealth tech space.

What You’ll Do:

  • Design, build, and maintain robust ETL/ELT data pipelines.

  • Collaborate with analysts and business teams to translate needs into technical solutions.

  • Recommend scalable data architectures using AWS, Snowflake, and modern data stack tools.

  • Ensure data quality, observability, and governance across systems.

  • Lead or support migration projects to cloud-based platforms.

  • Mentor junior engineers and promote engineering best practices.

What You’ll Bring:

  • 8+ years of data engineering experience.

  • Strong skills in SQL, Python, Airflow, Snowflake, AWS Glue, S3, Lambda, and Terraform.

  • Experience with CI/CD, data lineage, and monitoring tools.

  • Financial services experience is a MUST.

    Screening Questions:

    1-How proficient are you with programming languages and tools for data engineering tasks (e.g., SQL, Python, Airflow, Terraform)? how many years?

    2- Can you describe your experience designing, building, and maintaining ETL/ELT pipelines? Which tools and technologies did you use?

    3-Have you worked directly with analysts or business stakeholders to translate business needs into technical data solutions? Can you share an example?

    4-What is your experience designing data architectures on AWS using services like Glue, S3, Lambda, and Redshift or Snowflake?

    5-How do you ensure data quality, observability, and lineage in your pipelines? What tools or practices have you implemented?

    6-Have you participated in or led a cloud data migration project? What was your role and what challenges did you face?

    7-Describe a time when you mentored junior engineers or promoted engineering best practices within a team.

    8-How many years of hands-on experience do you have in data engineering? What types of systems or industries have you worked in?

    9- Have you worked with CI/CD pipelines for data deployments or infrastructure? What tools did you use and how did you manage rollouts?


    10-Do you have experience working in financial services or other regulated industries? If so, what types of data and systems were involved?

Send your resume and reply to above screening questions to : sasha@talenttohire.com

For more positions , visit: https://www.linkedin.com/company/talenttohire/jobs