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Distributed Computing Jobs in Chandler, AZ (NOW HIRING)

M3BI

Blockchain Developer

Phoenix, AZ

Qualifications Preferably a Master's degree specializing in distributed computing Must have experience with Linux, Open source, C++ or Java, client server apps Experience in Trade Finance, Equities ...

M3BI

Blockchain Developer

Phoenix, AZ · On-site

Qualifications • Preferably a Master's degree specializing in distributed computing • Must have experience with Linux, Open source, C++ or Java, client server apps • Experience in Trade Finance ...

Shutterfly

Principal Software Engineer

Tempe, AZ · On-site +1

$131K - $176K/yr

We're looking for someone who brings fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security and artificial ...

Shutterfly

Principal Software Engineer

Tempe, AZ · On-site +1

$131K - $176K/yr

We're looking for someone who brings fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security and artificial ...

Shutterfly

Principal Data Engineer

Tempe, AZ

$111K - $133K/yr

As part of the Data Engineering team you will tackle the scalability, performance and distributed computing challenges needed to collect, process and store data for a $2B customer eCommerce, images ...

Shutterfly

Principal Data Engineer

Tempe, AZ

$111K - $133K/yr

As part of the Data Engineering team you will tackle the scalability, performance and distributed computing challenges needed to collect, process and store data for a $2B customer eCommerce, images ...

QUANTUM COMPUTING, INC.

IT Administrator

Tempe, AZ

IT About Us Quantum Computing Inc.(QCi) (Nasdaq: QUBT) is an innovative, integrated photonics ... Working with a distributed team of IT team members. * Support employees across Windows, Linux, and ...

Quantum Computing Inc.

IT Administrator

Tempe, AZ

IT About Us Quantum Computing Inc.(QCi) (Nasdaq: QUBT) is an innovative, integrated photonics ... Working with a distributed team of IT team members. * Support employees across Windows, Linux, and ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

... distributed computing techniques for efficient computation. - Proficiency in Pytorch, Rust, C++ and/or CUDA. The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

... distributed computing techniques for efficient computation. - Proficiency in Pytorch, Rust, C++ and/or CUDA. The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to ...

Intel

Senior SoC Chiplet Architect

Phoenix, AZ · On-site

We specialize in IPU/DPU platforms, advanced packet processing architectures, and programmable networking technologies that form the backbone of modern distributed computing systems. We are seeking a ...

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All JobsDistributed Computing JobsDistributed Computing Jobs in Chandler, AZ

Distributed Computing information

See Chandler, AZ salary details

$34.1K

$135.2K

$194.6K

How much do distributed computing jobs pay per year?

As of Jun 13, 2026, the average yearly pay for distributed computing in Chandler, AZ is $135,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,638.00 and $160,075.00 per year, depending on experience, location, and employer.

What is the salary of a distributed system engineer?

The salary of a distributed system engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Professionals with expertise in cloud platforms, programming, and system architecture tend to earn higher salaries.

What engineers make $500,000?

Senior engineers in fields like software engineering, data engineering, and distributed systems can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries such as technology and finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What does distributed computing do?

Distributed computing involves dividing complex tasks across multiple computers or servers to process data more efficiently and quickly. It enables systems to handle large-scale problems, such as data analysis, scientific simulations, or cloud services, by coordinating resources and managing communication between nodes. Professionals in this field often work with network protocols, programming languages, and tools like Hadoop or Spark to develop and maintain these systems.

What are the key skills and qualifications needed to thrive as a Distributed Computing Engineer, and why are they important?

To excel as a Distributed Computing Engineer, you need a strong background in computer science, proficiency in algorithms, and experience with networked systems, often supported by a relevant degree. Familiarity with distributed systems frameworks (like Hadoop, Spark, or Kubernetes), cloud platforms (such as AWS or Azure), and knowledge of programming languages like Java, Python, or Scala is essential. Strong problem-solving, teamwork, and communication skills are crucial for designing scalable solutions and collaborating across teams. These competencies are vital to efficiently build, maintain, and troubleshoot complex distributed systems that power modern applications.

What is distributed computing?

Distributed computing is a field of computer science that involves dividing complex computational tasks across multiple computers or servers, which work together to solve problems more efficiently. These systems can be located in the same physical location or spread across the globe, connected via networks. Distributed computing allows for greater scalability, fault tolerance, and resource sharing, making it essential for tasks like big data analysis, scientific simulations, and cloud computing. Professionals in this field design, implement, and maintain systems that coordinate processes, manage data consistency, and ensure reliable communication between distributed components.

What are some common challenges faced by professionals working in distributed computing roles?

Professionals in distributed computing often encounter challenges such as maintaining system reliability and consistency across multiple nodes, troubleshooting issues that arise due to network latency or partitioning, and ensuring data security in a decentralized environment. Collaboration with cross-functional teams is essential, as distributed systems typically span several departments, requiring clear communication and coordinated problem-solving efforts. Adapting to rapidly evolving technologies and staying updated on best practices is also key to succeeding in this dynamic field.

What is the difference between Distributed Computing vs Cloud Engineer?

AspectDistributed ComputingCloud Engineer
Required CredentialsBachelor's in Computer Science or related; certifications like Hadoop, SparkBachelor's in Computer Science or related; cloud certifications (AWS, Azure, GCP)
Work EnvironmentData centers, high-performance clusters, on-premises or hybrid setupsCloud platforms, virtual environments, cloud service providers
Industry UsageBig data processing, scientific computing, enterprise data managementCloud infrastructure deployment, application development, DevOps
Common Search/ComparisonDistributed ComputingCloud Engineer

Distributed Computing involves managing and processing data across multiple systems to improve performance and scalability, often in on-premises or hybrid environments. Cloud Engineers focus on designing, deploying, and maintaining cloud-based infrastructure and services. While both roles require knowledge of networking, systems, and certifications, Distributed Computing emphasizes data processing frameworks, whereas Cloud Engineers specialize in cloud platforms and services.

What jobs can DT get you?

Distributed computing skills can qualify you for roles such as systems administrator, cloud engineer, data engineer, or software developer focused on distributed systems. These jobs often require knowledge of networking, programming, and tools like Hadoop or Spark, and may involve managing large-scale data processing or cloud infrastructure.
What job categories do people searching Distributed Computing jobs in Chandler, AZ look for? The top searched job categories for Distributed Computing jobs in Chandler, AZ are:
Distributed Computing jobs near you
Infographic showing various Distributed Computing job openings in Chandler, AZ as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $135,194 per year, or $65 per hour.

Big Data Hadoop Developer

Purple Drive Technologies

Phoenix, AZ • On-site

Full-time

Posted 22 days ago

Job description

Overview:
Hi All,
Role Descriptions: Must Have TechnicalFunctional SkillsIn-depth knowledge of the Hadoop ecosystem| including HDFS| MapReduce| Spark | Scala | HiveExpertise in Hive for data warehousing and querying large datasets.Strong experience with Apache Spark for distributed data processing and real-time analytics.Advanced proficiency in Scala programming for big data application development.Familiarity with data modeling| ETL processes| and data integration techniques.Experience with cloud platforms and big data tools (e.g.| Google Big Query).Strong analytical and problem-solving skills to address complex data challenges.Basic knowledge on JAVA | SpringbootStrong SQL skill.Roles ResponsibilitiesArchitect and design scalable big data solutions leveraging technologies like Hadoop| Hive| Spark| and Scala.Develop and optimize data pipelines and workflows for processing and analyzing large-scale datasets.Manage and fine-tune distributed computing frameworks to ensure high performance and reliability.Collaborate with cross-functional teams| including data engineers| analysts| and business stakeholders| to gather and define data requirements.Implement data security| governance| and compliance measures in big data environments.Diagnose and resolve technical issues in big data systems to maintain operational efficiency.Generic Managerial Skills| If anyDecision Making| Problem Solving| Leadership| Time Managementproficient in Java Application development| Java script and Application developemnt
Essential Skills: Must Have TechnicalFunctional SkillsIn-depth knowledge of the Hadoop ecosystem| including HDFS| MapReduce| Spark | Scala | HiveExpertise in Hive for data warehousing and querying large datasets.Strong experience with Apache Spark for distributed data processing and real-time analytics.Advanced proficiency in Scala programming for big data application development.Familiarity with data modeling| ETL processes| and data integration techniques.Experience with cloud platforms and big data tools (e.g.| Google Big Query).Strong analytical and problem-solving skills to address complex data challenges.Basic knowledge on JAVA | SpringbootStrong SQL skill.Roles ResponsibilitiesArchitect and design scalable big data solutions leveraging technologies like Hadoop| Hive| Spark| and Scala.Develop and optimize data pipelines and workflows for processing and analyzing large-scale datasets.Manage and fine-tune distributed computing frameworks to ensure high performance and reliability.Collaborate with cross-functional teams| including data engineers| analysts| and business stakeholders| to gather and define data requirements.Implement data security| governance| and compliance measures in big data environments.Diagnose and resolve technical issues in big data systems to maintain operational efficiency.Generic Managerial Skills| If anyDecision Making| Problem Solving| Leadership| Time Managementproficient in Java Application development| Java script and Application developemnt

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