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Data Engineer Intermediate Jobs in Ontario (NOW HIRING)

Bank of Canada

Developer

Ottawa, ON · On-site

Understanding of ETL and data engineering concepts. Level 16 role (Intermediate-Advanced) * Strong Python and SQL skills. * Hands-on experience with cloud and distributed data platforms. * Applies ...

Maarut

Microsoft Fabric Data Engineer Associate (DP\-700) \n * Salesforce Certified Administrator \n * Microsoft Dynamics GP \/ Dynamics 365 Finance experience \n \n \n

SYSTRA

Senior Roadway Design Engineer

Toronto, ON · Hybrid

Intermediate to Senior Engineer - Road Design will support the team with key responsibilities as ... Prepare reports and document project activities and data; * Provide guidance to technical staff and ...

GEI Consultants

Intermediate Civil Engineer

Owen Sound, ON · Hybrid

CA$95K - CA$125K/yr

GEI is seeking an intermediate civil engineer to contribute to the growth of our land development ... Analyze collected data and prepare technical reports, letters, and memoranda. * Assist with ...

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Data Engineer Intermediate information

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 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 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.

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 the most commonly searched types of Data Engineer jobs in Ontario? The most popular types of Data Engineer jobs in Ontario are:
What cities in Ontario are hiring for Data Engineer Intermediate jobs? Cities in Ontario with the most Data Engineer Intermediate job openings:
Data Engineer Intermediate jobs near you

Intermediate-Senior Pavement Engineer

Wood Plc

Cambridge, ON • On-site

Full-time

Re-posted 14 days ago

Job description

Overview / Responsibilities

Wood is seeking an Intermediate-Senior Pavement Engineer to join our specialty pavement consultancy based in the GTA, ideally in Burlington, Cambridge or Oakville, ON. We are seeking a motivated self-starter equally comfortable in a collaborative team setting, with considerable independence.

Key Responsibilities

  • Contributes technical specialization within Wood's pavement consultancy group
  • Provides advanced technical knowledge in pavement management and pavement engineering projects for provincial and local governments, and for industrial-commercial clients
  • Contributes to complex projects, and leads tasks or phases of large projects
  • Contributes to business development opportunities through technical proposal development, networking, specialized service offerings and with time, professional reputation
  • Contributes positively to a committed, professional team environment.
  • With time, develops as an expert resource working across the company
Skills / Qualifications
  • BSc or higher in Civil Engineering
  • Minimum 5 years of pavement engineering
  • Asphalt Concrete Pavement (ACP) structural designs
  • Portland Cement Concrete (PCC) structural designs
  • ACP and PCC mix design reviews
  • Pavement evaluation, preservation and rehabilitation
  • Knowledge of roadway or airport pavement research, management, evaluation, design, and /or construction is required
  • Excellent spreadsheet skills for engineering applications are required
  • Must pass drug screen, background check, and must have a satisfactory driving record in accordance with the Company's driving (MVR) policy

Desirable (not required) Qualifications:

  • Strong understanding of statistical principles
  • Falling Weight Deflectometer (FWD) analysis
  • Ground Penetrating Radar (GPR) analysis
  • Puts and roughness data (IRI, RUT) analysis
  • AASHTO Mechanistic Empirical design procedures
  • Experience developing statistical models and applying machine learning approaches
Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement (EEO)

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER

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