Hire Apache Spark developers

The average annual salary for an Apache Spark developer is $124,340 in the US, Salary.com reports.

Yes, Apache Spark developers are in high demand in 2024. This is due to Spark’s potential to process data volumes at high speed efficiently. It is ideal for big data analytics and machine learning applications, as well as real-time data processing. Its support for various programming languages and libraries makes it more versatile, besides easily integrating with other tools within the Apache ecosystem.

The average salary for a Spark Engineer is $110,369 per year in the US, according to Glassdoor.

An Apache Spark developer designs and implements solutions for large-scale data processing using the Apache Spark framework. They develop and optimize code to run it on large data sets and use multiple tools for real-time data analysis and machine learning tasks. Overall, such a role offers powerful data solutions for effective analytics and decision-making.

Indeed, Apache Spark is used by data engineers. This is because Spark makes it very easy to process huge amounts of data pretty fast and efficiently. It does batch processing, stream processing, and complex analytics; hence, it can be versatile in building and managing big data pipelines.

Moreover, the data engineers use Apache Spark to clean, transform, and collect data from different sources for the purpose of analysis or other forms of processing.

Apache Spark is mostly written in Scala. However, it also has APIs for Java, Python, and R, thus developers can write Spark applications in these languages.

The reason why Apache Spark can appear tough for many developers is basically because it’s based on distributed computing and introduces many new terms, such as RDD (Resilient Distributed Datasets) and transformations.

However, with constant practice and available various learning resources, it will be quite easy to work with.

Lemon.io provides up to 20 prepaid risk-free hours with our Apache developers to review how they complete real tasks on your projects. Otherwise, it is a zero-risk replacement guarantee: if the previous developer doesn’t meet your expectations or misses deadlines, we will find a new one for your project.

1. First, make a candidate profile.
2. Write a job description that includes their main tasks and the technical abilities needed for the role. Specify that the candidate is expected to have experience with Apache Spark, along with knowledge of related technologies such as Hadoop, Scala, Python, or Java. Mention extra skills in data modeling and processing and acquaintance with cloud platforms.
3. Look for the right specialists on freelance platforms, job boards, etc. Lemon.io can match you with a skilled professional within 48 hours if you need a quick solution.
4. Look through their resumes and portfolios.
5. Test their personal skills and technical knowledge. Get the details about previous engagements, technologies that were brought into practice, etc. What challenges did they face? How were they solved?
6. Check references.
7. Offer them the job and get them started.

You can hire an Apache Spark developer through Lemon.io in 48 hours. All the developers have already passed our vetting process, including VideoAsk, their me.lemon profile completion, a screening call with our recruiters including various technical questions, and a technical interview with our developers. We will ensure a fast and comfortable hiring process while matching you with the best Apache Spark developers in the industry, as only 1% of applicants are accepted into our community.