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

JLL

Senior Data Engineer

Toronto, ON · Remote

Mentor junior and intermediate data engineers on advanced concepts, best practices, and emerging technologies * Collaborate with senior stakeholders to influence business requirements and align ...

Bmo

Data Engineer

Toronto, ON · On-site

CA$61K - CA$113K/yr

Computational thinking and programming. * Deep learning. * Decision making. * Critical thinking ... Intermediate level of proficiency: * Data integration. * Data warehousing. * Enterprise data ...

Common CENTS Solutions

BI Data Engineer

Markham, ON

CA$100K - CA$115K/yr

BI Data Engineer Full stack engineer for BI / Reporting solution Location: Markham, ON (Hybrid ... Intermediate (2-5 years) Compensation & Role Details: Expected Salary Range: The expected base ...

Morningstar, Inc.

Senior Data Engineer

Toronto, ON

CA$90K - CA$132K/yr

The Role: We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in ... Basic to intermediate understanding of CI/CD pipelines and deployment workflows . * Hands-on ...

BMO Capital Markets

Senior Data Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

Technology About the team Data and AI Technology (DAT) Engineering supports BMO's Digital-First ... Provide technical direction and guidance to junior and intermediate developers * Identify, track ...

Aviya Aerospace Systems

Hardware Engineer

Mississauga, ON

CA$80K - CA$120K/yr

We have an immediate opening for a creative and talented Hardware Engineer (Intermediate) to join ... If you would like more information about how your data is processed, please contact us. apply for ...

Wood Plc

Intermediate Accountant

Oakville, ON

Prepare input files and upload monthly financial and supplementary data to HFM. * Review ... Minimum of seven (5) years experience, ideally in an Engineering Consultancy firm or Oil & Gas ...

BMO Capital Markets

Data Scientist

Toronto, ON · On-site

CA$82K - CA$154K/yr

Work with data engineer to do data ETL. * Uses data mining and extracting usable data from valuable ... Intermediate level of proficiency: * Mathematics, statistics & operations research. * Deep learning.

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Data Engineer Intermediate information

What is a data engineer intermediate?

A Data Engineer Intermediate is a professional who designs, builds, and maintains data pipelines and architectures, typically with a few years of experience in the field. They are responsible for collecting, transforming, and storing data in ways that make it accessible and usable for analytics and business intelligence. Intermediate data engineers often work with tools like SQL, Python, ETL frameworks, and cloud platforms. They collaborate with data scientists, analysts, and other engineers to ensure data quality and optimize data workflows. This role requires a good understanding of data modeling, database systems, and data integration techniques.

What are the key skills and qualifications needed to thrive as a data engineer intermediate?

To thrive as a Data Engineer Intermediate, you need strong programming skills in languages like Python or Java, experience with database systems (SQL/NoSQL), and a solid understanding of data modeling, ETL processes, and data warehousing concepts. Familiarity with tools such as Apache Spark, Hadoop, Airflow, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills help set candidates apart in this role. These competencies ensure efficient data pipeline development, reliable data infrastructure, and effective collaboration with data teams and stakeholders.

What are some common challenges data engineer intermediates face when working with large-scale data pipelines?

As a Data Engineer Intermediate, you may frequently encounter challenges related to maintaining data quality and consistency across multiple sources, optimizing ETL processes for performance, and ensuring data pipelines are scalable to handle increasing data volumes. Troubleshooting data latency issues and managing dependencies between data sets are also common hurdles. Collaborating closely with data analysts, data scientists, and other engineers is essential to address these challenges and deliver reliable, high-quality data solutions.

What is the difference between Data Engineer Intermediate vs Data Engineer Junior?

AspectData Engineer IntermediateData Engineer Junior
Required CredentialsBachelor's in CS, experience with SQL, Python, ETL toolsEntry-level, basic knowledge of SQL and scripting
Work EnvironmentCollaborates on complex data pipelines, supports data architectureAssists in data tasks, learns from senior engineers
Employer & Industry UsageUsed in tech, finance, healthcare sectors for data projectsCommon in similar industries as entry-level role
Comparison Search IntentUnderstanding role progression, skills requiredEntry-level position, learning expectations

The main difference between Data Engineer Intermediate and Data Engineer Junior lies in experience, skill level, and responsibilities. Intermediate engineers handle more complex data pipelines and support data architecture, while junior engineers focus on learning foundational skills and assisting senior staff. This distinction helps employers and candidates understand career progression and required competencies.

Can I get a data engineer intermediate job with no experience?

A data engineer intermediate role typically requires prior experience with data pipelines, programming languages like Python or SQL, and familiarity with tools such as Hadoop or Spark. Entry-level positions or internships may be more suitable for those without experience, as intermediate roles generally expect demonstrated skills and some professional background.

What are the most commonly searched types of Data Engineer jobs in Toronto, ON?

The most popular types of Data Engineer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Data Engineer Intermediate jobs?

Cities near Toronto, ON with the most Data Engineer Intermediate job openings:

Data Engineer Intermediate jobs near you
Infographic showing various Data Engineer Intermediate job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Intermediate Data Engineer ( SQL, Databricks/ Snowflakes, DBT, Airflow)

Talent To Hire Inc.

Toronto, ON • Remote

Full-time

Re-posted 28 days ago

Job description

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

Our client is interviewing to onboard an Intermediate Data Engineer to join their Data & Analytics team . We are looking for an Intermediate Data Engineer with proven track record working within the 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.

  • Support migration projects to cloud-based platforms.

What You’ll Bring:

  • 5-7 years of data engineering experience.

  • Must have Solid SQL and either Snowflake or Databricks,

  • DBT and/or Airflow

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

  • Financial services ( Wealth Mgmt. / Asset Mgmt./ Capital Markets) is Nice to have.

    Screening Questions ( If you are comfortable with answering below questions at ease, apply) :

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


    8-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