Spark Developer

A Spark Developer utilizes Apache Spark to design and implement high-performance data processing applications, enabling efficient data analysis and machine learning.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Spark Developer

National (USA)
Base Salary
$83,745 / year
Additional Benefits
Bachelor's Degree

The average salary for Spark Developer is $83,745 / year according to

There are no updated reports for Spark Developer salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Spark Developer role may have an alternate title depending on the company. To find more information, you can check

Career Information

As a Spark Developer, you will be responsible for developing and maintaining applications using Apache Spark, a distributed computing system. You will need strong skills in programming languages such as Scala or Python, as well as experience with big data processing and analytics. Excellent problem-solving and analytical skills are essential, as you will be responsible for designing and implementing efficient and scalable Spark applications. Strong teamwork and communication skills are also important, as you may collaborate with data scientists and other developers.

The average salary for Spark Developer is $83,745 / year according to
AI Disclaimer
The following text about the Job role of Spark Developer has been generated by an AI model developed by OpenAI. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

A Spark Developer is a professional responsible for developing and maintaining applications using Apache Spark, an open-source distributed computing system. This role requires a strong understanding of big data processing and analytics, as well as proficiency in programming languages such as Scala or Python.

One of the most important skills for a Spark Developer is expertise in Apache Spark. They should have a deep understanding of the Spark architecture and be able to leverage its capabilities to process large volumes of data efficiently. This includes knowledge of Spark's core components, such as Spark Core, Spark SQL, Spark Streaming, and MLlib.

Another crucial skill for a Spark Developer is proficiency in programming languages like Scala or Python. These languages are commonly used in Spark development due to their compatibility with the Spark ecosystem. A Spark Developer should be able to write clean and efficient code in these languages, as well as have a good understanding of functional programming concepts.

In addition to programming skills, a Spark Developer should also have a strong background in big data processing and analytics. They should be familiar with concepts such as distributed computing, parallel processing, and data partitioning. This knowledge is essential for optimizing Spark applications and ensuring they can handle large-scale data processing tasks.

A Spark Developer is responsible for a variety of tasks related to application development and maintenance. They are involved in designing and implementing Spark applications, as well as optimizing their performance. This includes tasks such as data ingestion, data transformation, and data analysis. They may also be responsible for troubleshooting and debugging Spark applications to ensure they are running smoothly.

Furthermore, a Spark Developer should have experience with data integration and data pipeline development. They should be able to work with different data sources, such as Hadoop Distributed File System (HDFS), Apache Kafka, or Apache Cassandra, and integrate them into Spark applications. They should also be familiar with tools and frameworks commonly used in the big data ecosystem, such as Apache Hive, Apache HBase, or Apache Flume.

Overall, a Spark Developer plays a crucial role in developing and maintaining applications that leverage the power of Apache Spark for big data processing and analytics. Their skills in Spark, programming languages, and big data processing are essential for building efficient and scalable applications in the rapidly evolving field of big data.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

Databricks Certified Data Engineer Associate

The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.

View More

AWS Certified Database — Specialty


The AWS Database Certification — Specialty program is intended to validate candidates' expertise in recommending, designing, and implementing AWS cloud-based relational and NoSQL database systems.

View More

Microsoft Certified: Azure Data Engineer Associate


The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.

View More

Google Certified Professional Data Engineer

The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.

View More

AWS Certified Machine Learning — Specialty Certification


The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

View More

Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

View More
Specialty Courses improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

Machine Learning with PySpark


This program enhances your skills in data-driven predictions using Apache Spark, covering techniques like decision trees, logistic and linear regression, ensembles, and pipelines.

View More
View More

Professional Certificate in NoSQL, Big Data and Spark Fundamentals


Spark AR for Beginners


AI Programming with Python


Computer Vision for Engineering and Science Specialization


Image Processing for Engineering and Science Specialization


Web Authentication and Authorization

Skill Track

Professional Certificate in Spark AR Pro


Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.

The content displayed on this website is for informational and promotional purposes only. We have made every effort to use these materials in accordance with media kits and legal guidelines. We may receive a commission for any purchases made through our website.

Please note that we are not affiliated with, endorsed by, or sponsored by any of the companies whose logos and other materials appear on our website, unless expressly specified otherwise. All trademarks, logos, and other intellectual property belong to their respective owners.

If you are a copyright owner or an agent thereof and believe that any content on our website infringes upon your copyrights, you may submit a DMCA takedown request to have the content removed. Please provide us with the necessary information to process your request, and we will take appropriate action in accordance with applicable laws.

By using our website, you acknowledge and agree to this disclaimer and assume full responsibility for your use of the information provided.

Fortnight Reads
We care about your data in our privacy policy.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
© 2023 All rights reserved.