Data Engineer Test

When looking to fill a data engineer position, it's important to make sure that the candidate has the skills necessary to do the job. A data engineer skills test can help ensure that the candidate is a good fit for the position.

  • What is a data engineer skills test?

    Data engineers design and build systems to collect, store, analyze, process and share data.

    The data engineer skills test is specially designed to assess prospective data engineers on their skills and qualifications, to help hiring managers and recruiters make the best decisions when filling a vacancy.

    The test itself is a broad look at everything you might need to know as a data engineer. It can cover coding and proficiency in Hadoop - Hive, Hadoop - Spark, R-programming, MOngo DB, SQL, Data Modeling and Data Warehousing, as well as more general skills and knowledge of how to harvest data.

Jump to a section on this page:

  1. What is a data engineer skills test?
  2. What are the benefits of using the data engineer skills test for pre-screening?
  3. How our test measures data engineer skills
  4. Data Engineer Test FAQs

Identify the best candidates and hire faster

Our pre-employment tests let you drill down to the best candidates at the click of a button.

  • Find those candidates who will excel in the role.

    Select the assessments that match the skills or behaviours for the position. You can test for software or coding competency, soft skills like teamwork, or personality traits, to be sure those who pass have high potential.

  • Reduce costs and time.

    No more laborious sifting of resumes or cover letters. Pick your ideal assessment mix, invite your applicants to take them, see the results in your dashboard. Get to the interview stage fast.

  • Eliminate bias.

    All your candidates take the assessments on a level playing field. Only their results determine whether they get shortlisted.

  • What are the benefits of using the data engineer skills test for pre-screening?

    Perhaps the biggest benefit of using the data engineer skills test is being able to get a clearer view of candidates’ skills, and see whether they match up to the experience detailed on their resumes.

    Many recruiters or hiring managers will use a skills test such as this as a pre-screening device. This improves the efficiency of the overall process as it ensures you’re only meeting with really strong candidates, as evidenced by their test results.

    Another benefit of using the data engineer skills test before you get to the interview stage is that it can help remove unconscious bias from your hiring practices, by asking recruiters and hiring managers to focus on data and test results as metrics for success rather than anything else.

    The test tends to be multiple choice and will take place against the clock. The time pressure is designed to elevate the complexity of the test

    Although all of these roles are different, the data engineer skills test could also be used when hiring for:

More Job Skills Tests

How our test measures data engineer skills

Test questions are designed to assess industry-specific technical skills, soft skills, aptitude and suitable personality dimensions. Our data-driven approach provides results that enable you to determine how suited is a candidate for the role.

Depending on the type of question, the format of the test may vary. Multiple-choice questions are used to measure aptitude, technical skills and soft skills, while agreement on a Likert scale assesses suitable personality dimensions. Skills tests ensure that candidates are being evaluated in a precise and impartial manner, their results demonstrating the true knowledge and potential of each test taker.

The characteristics required to become a data engineer were determined by looking at the skills and abilities listed in the US Department of Labor’s O*NET database, which collects data from professionals in various fields.

O*NET is the largest database of its kind, providing detailed information about occupations and the requirements for each role.

Our team of I/O psychologists and psychometrics worked closely with subject-matter experts to create an extensive question bank that can be used to test multiple candidates. We also conducted rigorous field testing with a representative sample of candidates to ensure that the questions were reliable and valid.

Test scores are averaged together to give an overall score. The average score is compared to other candidates' scores to ensure there is no bias toward certain candidates.

Our data engineer test is constantly updated and optimized to ensure the best experience and results.

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Validated

Predictor of job success

Picked provides evidence-based recommendations for tests to use for over 750 jobs. Our recommendation engine leverages data from the Occupational Information Network (O*NET) developed by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA).

  • Assessments

    A full suite of assessments

    Our platform comes with 12 tests across both foundation and advanced levels so they’re suitable for everyone. Including aptitude, behavioural and personality tests, you’ll have a full range of tests to help you find the candidates you’re seeking.

  • Analytics

    An array of candidate metrics

    For each of your candidates, you’ll be given a comprehensive report. Included will be all the metrics you need to build a detailed picture of each candidate and ensure you’re making the right hiring decisions.

“The platform is so simple to use. I had used competitor providers for over six years and will never go back. Fast, efficient and friendly!”
Greg Chambers, HR Business Partner, Littlefish Ltd
Greg Chambers, HR Business Partner, Littlefish Ltd

Data Engineer Test FAQs

What are some common problems faced by data engineers?

Some common problems include limited access to data, poor data itself, or even the challenge of translating the data to other key stakeholders with less of a technical background.

What is the salary of a data engineer?

As with any role, salaries vary. But the average data engineer salary in the USA is $123,273 per year (which works out as $63.22 per hour). Entry-level positions start at around $97,500 per year while more experienced employees could make up to $165,000 per year.

Can I see what the test is like?

Yes, of course. You can try the test for free by signing up for a free trial.

Are these tests available in my plan?

We have a range of plans available. The difference between the plans is the number of test attempts permitted, not the type of tests. All our plans include our full test suite comprising all tests and all levels.

“An unbeatable service, impressive platform and fantastic value for money.”
Laurence Fishman, Partner, NLPCA
Laurence Fishman, Partner, NLPCA

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