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Big Data Engineer Intern Jobs in Waterloo, ON (NOW HIRING)

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Why Intern With Us: At Acceldata, you won't just be writing code; you'll be shaping the foundation ... Experience with distributed computing, big data technologies, and cloud platforms is a plus.

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

Summary As a Field Engineer Co-op at Acceldata, you'll be working hands-on with complex distributed ... Experience with distributed computing, big data technologies, and cloud platforms is a plus.

Summary As a Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales ... Experience with distributed computing, big data technologies, and cloud platforms is a plus.

We are looking for an experienced R Developer for our client. This is a permanent position that is ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

We are looking for an experienced R Developer for our client. This is a permanent position that is ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

We are looking for an experienced R Developer for our client. This is a permanent position that is ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

We are looking for an experienced R Developer for our client. This is a permanent position that is ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

AI Engineer

Guelph, ON · On-site

CA$110K - CA$150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and ...

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Big Data Engineer Intern information

What does a Big Data Engineer Intern do?

A Big Data Engineer Intern assists with designing, building, and maintaining large-scale data processing systems. They often work with technologies such as Hadoop, Spark, and SQL to manage and analyze large datasets. Interns may help develop data pipelines, clean and organize data, and support senior engineers in optimizing data workflows. This role provides hands-on experience in handling big data tools and working on real-world data engineering projects.

What are the key skills and qualifications needed to thrive as a Big Data Engineer Intern?

To thrive as a Big Data Engineer Intern, you need a solid understanding of programming (especially Python, Java, or Scala), data structures, and basic knowledge of distributed computing concepts, typically supported by coursework or relevant projects. Familiarity with big data tools like Hadoop, Spark, and data querying languages such as SQL, as well as exposure to cloud platforms like AWS or Azure, is highly valuable. Strong analytical thinking, problem-solving abilities, and communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills and qualities are crucial for handling large-scale datasets and supporting the development of data-driven solutions within engineering teams.

What are some common challenges a Big Data Engineer Intern might face when working with large datasets?

As a Big Data Engineer Intern, you'll often encounter challenges related to managing the scale and complexity of massive datasets. These can include optimizing data ingestion pipelines for speed and efficiency, troubleshooting data quality issues, and ensuring data privacy and security. Additionally, you may need to quickly learn new tools or frameworks, such as Hadoop or Spark, and collaborate closely with data scientists and engineers to ensure data is structured and accessible for analysis. Developing problem-solving skills and being proactive in seeking help from your team can help you overcome these hurdles.

What is the difference between Big Data Engineer Intern vs Data Engineer?

AspectBig Data Engineer InternData Engineer
CredentialsRelevant coursework, some internshipsBachelor's or master's in CS, experience preferred
Work EnvironmentInternship, learning-focused, entry-level projectsFull-time, professional projects, team collaboration
Industry UsageTech, finance, healthcare, startupsSame industries, more responsibility
Search & Comparison IntentEntry-level, internship opportunitiesCareer advancement, full-time roles

The main difference between a Big Data Engineer Intern and a Data Engineer is experience level and responsibility. Interns are typically students or early learners gaining exposure, while Data Engineers are full-time professionals managing complex data systems. Internships serve as stepping stones toward full-time data engineering careers.

What cities near Waterloo, ON are hiring for Big Data Engineer Intern jobs?

Cities near Waterloo, ON with the most Big Data Engineer Intern job openings:

Senior Data Engineer

Targeted Talent

Waterloo, ON • Remote

Full-time

Re-posted 18 days ago


Job description

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've likely used.
Within this role, you'll have the chance to work on an application that is used by millions of users daily. With your expertise in BI, Data warehousing and big data you'll contribute to the expanding expertise of the team and keep data components current!

You Have:

  • Minimum 5+ years professional working experience as a Data Engineer
  • Strong experience working with both batch and real-time ETL involving large data sets
  • Experience mentoring and guiding Junior Data Engineers in previous roles
  • Strong Experience working with SQL and large data sets
  • Hands-on experience coding in Python is required
  • Experience working with Business Intelligence and Data Warehousing
  • Experience working with data services on the cloud such as AWS and/or Google Cloud Platform environments
  • Experience with REST API's

Some AWESOME selling points:

  • Remote + flexible work schedule
  • North of six figures salary + Equity + Health Spending Account (it's competitive)
  • Amazing opportunity for career progression to lead
  • Amazing mentorship (seriously)
  • Plenty of vacay
  • RRSP Matching
  • Team budget for education for employees

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)


* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.


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About Targeted Talent

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Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA