Hire deeply-vetted data engineers

Turing brings you a cutting-edge, AI-powered deep-vetting talent platform to help you scale your engineering team with just a click. Hire deeply-vetted remote data engineers in 4 days.

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Join 900+ companies who have trusted Turing for their remote engineering needs.

Hire the top 1% of 3 million+ engineers who have applied to Turing

Sai

Sai

Data Engineer

Experience3 years
AvailabilityFull-time

Sai has 3+ years of experience in software development. He has worked on technologies such as CI/CD, MongoDB, Docker, Java, data extraction, etc.

Expert in
  • Data Engineering
  • MongoDB
  • Docker
  • Java
  • Data Extraction
Also worked with
  • PHP
  • SQL
  • Kubernetes
  • Data Science
Rylan

Rylan

Data Engineer

Experience5 years
AvailabilityFull-time

Rylan is a senior software engineer with 5+ years of experience in building trading applications and data pipelines, tackling challenging architectural and scalability problems in finance.

Expert in
  • Data Engineering
  • AWS
  • GitHub
  • C++
  • Django
Also worked with
  • PostgreSQL
  • C#
  • JavaScript
Izunna

Izunna

Data Engineer

Experience8 years
AvailabilityFull-time

Izunna is a data scientist with 8+ years of experience in using ML algorithms to check performance metrics, predict future occurrences with historical data, and automate business processes.

Expert in
  • Data Engineering
  • Magento
  • MySQL
  • Growth Hacking
  • Numpy
Also worked with
  • PHP
  • JavaScript
  • WordPress
  • Joomla
Vivek

Vivek

Data Engineer

Experience3 years
AvailabilityFull-time

Vivek is a data science enthusiast with 3+ years of experience. He has a strong background in mathematics, statistics, and computer science.

Expert in
  • Data Engineering
  • SQL
  • Python
  • MATLAB
  • AWS
Also worked with
  • Deep Learning
  • Ansible
  • Microservices
  • Spark
Braden

Braden

Data Engineer

Experience5 years
AvailabilityFull-time

Braden has 5+ years of experience in software development. He is proficient in technologies such as Python, Java, JSON, data extraction, Oracle, etc.

Expert in
  • Data Engineering
  • Python
  • Java
  • JSON
  • Data Extraction
Also worked with
  • Git
  • React.js
  • Android
  • JSP
  • Selenium
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Guide to hiring remote data engineers

In this guide, we have listed down the major recruiting points on how to hire data engineers to scale up your development team.

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Guide to hiring remote data engineers
Here’s what customers have to say about Turing

Turing has been providing us with top software developers in Latin America. All our other vendors combined don't have the headcount that Turing does.

crypto exchange platform
Program Manager of one of the world's largest crypto exchange platforms

We hired about 16 ML engineers from Turing which reduced our hiring effort by 90% as compared to other vendors.

 healthcare company
Engineering Manager of a NYSE-listed, Fortune 500 healthcare company

We're super excited about Turing as we will scrap our existing lengthy interview process and lean on Turing's vetting to build up teams on demand.

finance company
Director of engineering of a US-based, multimillion-dollar finance company
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Why businesses choose Turing

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Speed

4 days

to fill most roles,
sometimes same day.

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Time Saved

50+ hours

of engineering team time
saved per developer on interviewing.

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Retention

97%

engagement
success rate.

Hire data engineers through Turing in 4 easy steps

Hiring Steps
  1. Tell us the skills you need

    We’ll schedule a call and understand your requirements.

  2. We find the best talent for you

    Get a list of pre-vetted candidates within days.

  3. Schedule interviews

    Meet and select the developers you like.

  4. Begin your trial

    Start building with a no-risk 2 week trial period.

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How to hire data engineers? Skills to look for, interview questions, and more

Hiring a data engineer is easy, but hiring the right engineer with adequate data-related experience and knowledge is difficult. Companies that want to find valuable insights from raw data and develop dashboards and visualizations for stakeholders must hire the best data engineers.

However, hiring data engineers is getting increasingly challenging. Companies are competing to hire from a limited talent pool, making it costly and time-consuming to hire remote data engineers.

Turing aims to simplify things with our AI-powered talent cloud that leverages global reach to source high-quality engineers in 4 days. We use deep vetting to select the best data engineers after evaluating their communication skills and technical expertise in cloud computing, big data analytics, data modeling, data security, and other key areas.

Moreover, if you are a non-technical manager interested in learning more about the recruiting process to hire remote data engineers, we've put up an excellent resource for you.

Skills to look for in a data engineer

At a high level, data engineers should have the following skills in their arsenal:

1. Familiarity with database systems

The knowledge of relational databases like PostgreSQL or MySQL, and NoSQL databases like Cassandra or MongoDB is crucial for expert data engineers. They must understand concepts like database administration, query optimization, and performance optimization to perform data-related tasks efficiently and as per business needs.

2. Familiarity with version control systems

Version control systems like Git, SVN, Mercurial, etc., assist data engineers in building and developing applications safely and efficiently. These tools help them keep track of each step while building applications. Besides this, code versioning tools also allow engineers to experiment with various new application features, which helps create robust applications. Data engineers who have adequate knowledge of working with such platforms can work efficiently on any project.

3. Knowledge of data modeling and integration

Expert data engineers are proficient in designing and implementing robust data models that meet organization requirements. This involves understanding normalization techniques, data structures, and database design principles. Plus, a skilled data engineer must also have expertise in the extraction, transformation, and loading (ETL) of data from different sources into a unified data repository.

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4. Proficiency in cloud computing

In order to precisely and efficiently assess data, engineers need a highly scalable infrastructure that offers a high-performance data storage mechanism. That's why when hiring, ensure to check the candidate's cloud computing capabilities. Skilled data engineers are proficient in cloud-based processing and data storage platforms like Microsoft Azure, Amazon Web Services, or Google Cloud Platform. They must also be familiar with Amazon S3, Azure Data Lake, Redshift, Google BigQuery, and other relevant services for efficient programming.

5. Familiarity with big data analytics

The role of a Data Engineer involves performing complex data analysis to find patterns in large chunks of data and then reporting it in the form of visualizations. Big data analytics help in harnessing the data and utilizing it to identify future opportunities in the business. Hence, when you hire data engineers, check their expertise in distributed computing frameworks like Apache Spark, Apache Hadoop, and Apache Kafka, and their working knowledge of big data processing engines like Hive, Pig, or MapReduce.

6. Experience with data warehousing

When hiring data engineers, be sure to assess their data warehousing skills. Data engineers must have a solid understanding of designing and creating data marts or warehouses for efficient data retrieval, storage, and analysis. Expert data engineers are well-versed in concepts like data cubes, star schema, and dimensional modeling.

Create a hiring funnel

Creating a hiring funnel will provide you with numerous benefits, like assisting you in identifying the top skills and identifying a data engineer who will fit into your company's culture.

What Turing does for you

Candidates screening
Candidates screening

We will help you select the best talents and spot a Data Engineer who will fit in your company culturally.

Test task
Test task

We verify if the candidate really wants to work at your company and is able to spend 5+ hours to prove it by rigorous tests. It helps us to see a developer's caliber.

Technical test
Technical test

Developers are asked data engineering related questions and made to solve tricky problems. We use open questions. The goal is not only to test developers’ knowledge – we also want to find out their way of thinking.

Giving specific feedback
Giving specific feedback

We provide explicit feedback on both the test task and the technical test after we have checked the developer's expertise.

What you do

Interview
Interview

You can interview the shortlisted developers to check if the candidate matches your requirements and is a good fit for your company.

Hired/Not-hired
Hired/Not-hired

Hire intelligently with developers sourced by software, vetted by software, matched by software & managed by software.

Top interview questions to hire data engineers

Whether you're an IT recruiter or a project manager, you know that hiring top data engineers is critical to the success of your project. Here are some sample interview questions to use when looking for a new data engineer to work on your online applications.

You want to hire data engineers who not only explain the terms but also discuss how both the terms are different from each other and how they work. They might say that OLAP refers to Online Analytical Processing, whereas OLTP refers to Online Transaction Processing. In OLTP, the data is primarily concerned with fundamental day-to-day operations, and in OLAP, the data is used mainly for decision making, planning, and problem-solving.

Data engineers who have been working with the Hadoop environment for quite some time must be familiar with block and block scanners. The HDFS splits large files into smaller chunks which are known as blocks. The block scanner is used for identifying the corrupt datanode block.

Based on the MapReduce algorithm, Apache Hadoop is used to process a vast amount of data set. However, you don’t want to hire data engineers who are just familiar with the Hadoop tool. Instead, you want to hire someone who knows exactly how the tool works and when not to use it.

Due to the high demand for technologies, software trends keep changing with the needs of the industry. When you hire data engineers, it is essential to know whether the engineer is familiar with all the key trends in data engineering and big data analytics that require the attention of all businesses.

You want to hire data engineers who can explain how cloud computing works and its pros and cons. The answer to this question will help you understand the developers’ level of expertise in the domain of cloud computing.

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Here are some more data engineer interview questions that you can ask to assess a developer’s caliber.

  • Difference between NAS and DAS in the Hadoop Cluster.
  • What is the replication factor in HDFS?
  • What is MapReduce in Hadoop, and what role does Reducer play?
  • What happens when the Block scanner detects a corrupt data block?
  • Is building a NoSQL database better than building a relational database?

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Frequently Asked Questions

The purpose of the two-week no-risk trial period is to start working with the developers and include them in the team. If you are satisfied with the developers, you keep working with them and pay their salary including the first two weeks. But, if you are not satisfied during the trial period, then you won’t pay anything.

Turing offers top-quality, cost-effective, and highly productive data engineers who belong to the top 1% of the world's remote developers. All Turing data engineers are selected only after going through a series of rigorous tests where their skills are deeply vetted. Daily standups are mandatory for every Turing developer as they keep the developer and the customer in alignment with the discussed goal. All Turing remote data engineers work for at least 4 hours in your time zone for your convenience.

It is a piece of cake to hire a dedicated data engineer for your company with the help of Turing. You can get in touch with us to hire a data engineer that is going to work according to your time zone, that too without burning a hole in your pocket.

Turing has created the first and only AI-powered deep-vetting talent platform to vet remote developers. Turing tests developers based on actual skills vs. self-reported experience from traditional resumes or job interviews. Every developer at Turing has to clear our tests for programming languages, data structures, algorithms, system designs, software specialization, frameworks, and more. Each Turing developer goes through our automated seniority assessment test comprising 57 calibrated questions in 5 areas — project impact, engineering excellence, communication, people, and direction.

With Turing, you can hire the best remote developers for 100+ skills such as React, Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, DevOps, Machine Learning, etc. Turing also offers developers based on tech stack and seniority.

Data Engineers are definitely in demand. It is one of the most sought-after careers that people tend to book due to a number of reasons. You can hire a data engineer for your firm with the help of Turing and touch the peak of success.

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