ZipRecruiter

Log In

1

Distributed Computing Jobs in Chandler, AZ (NOW HIRING)

AceStack LLC

Bigdata Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... distributed computing frameworks to ensure high performance and reliability. • Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to gather and ...

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 ...

Tata Consultancy Services

SRE with Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... distributed computing frameworks to ensure high performance and reliability. • Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to gather and ...

New

Old Dominion Freight Line, Inc.

Solutions Architect

Mesa, AZ · On-site

$62.50 - $82.25/hr

Experience with distributed computing environments * Agile software development experience preferred * Requires knowledge and use of containerization and virtualization technologies * Experience with ...

QUANTUM COMPUTING, INC.

IT Administrator

Tempe, AZ

$84K - $131K/yr

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 ...

next page

Showing results 1-20

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 Jul 4, 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.

Is distributed systems a good career?

Distributed computing is a growing field that involves designing and managing systems across multiple machines to improve performance and scalability. It requires skills in programming, networking, and system architecture, often utilizing tools like Hadoop or Kubernetes. Careers in this area can offer high demand and competitive salaries, especially for those with expertise in cloud platforms and large-scale data processing.

What is an example of distributed computing in real life?

Distributed computing in a job context involves coordinating multiple computers or servers to perform large-scale tasks efficiently. An example is processing big data analytics across a cluster of servers, which requires knowledge of distributed systems, networking, and parallel processing tools like Hadoop or Spark.

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 or scientific simulations, by coordinating resources and managing communication between nodes. Professionals in this field often work with network protocols, cloud platforms, and parallel processing tools.

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 the highest paying job in computing?

In computing, roles such as Chief Technology Officer (CTO), Solutions Architect, and Data Science Director tend to be among the highest paying, often earning six-figure salaries. These positions typically require extensive experience, advanced skills in areas like cloud computing, machine learning, or cybersecurity, and often involve leadership responsibilities.

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 are popular job titles related to Distributed Computing jobs in Chandler, AZ? For Distributed Computing jobs in Chandler, AZ, the most frequently searched job titles are:
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 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $135,194 per year, or $65 per hour.

Pyspark Engineer

Texas State Library and Archives Commision

Phoenix, AZ • On-site

$54.25 - $71.75/hr

Full-time

Posted 15 days ago

Job description

We are seeking a skilled PySpark Engineer to join our data engineering team. The ideal candidate will have expertise in Apache Spark (PySpark) for large-scale data processing, strong SQL and Python skills, and experience working with big data platforms such as Hadoop, Databricks, or AWS Glue. This role involves building scalable ETL pipelines, optimizing data workflows, and ensuring data integrity for analytical and machine learning applications.
Key Responsibilities:
  • Develop and optimize ETL pipelines using PySpark for data ingestion, transformation, and processing.
  • Design, implement, and maintain big data solutions on platforms such as Hadoop, Databricks, or AWS Glue.
  • Work with structured and unstructured data from multiple sources, ensuring data quality and consistency.
  • Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver efficient solutions.
  • Optimize Spark jobs for performance tuning, cost reduction, and scalability.
  • Implement data security and governance best practices.
  • Troubleshoot issues related to data pipelines, Spark jobs, and distributed computing environments.
  • Automate workflows using Apache Airflow, Cron Jobs, or other orchestration tools.
  • Write clean, maintainable, and well-documented PySpark code following best practices.
  • Stay up to date with the latest developments in big data, cloud computing, and distributed systems.

Apply