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Associate Data Engineer Jobs in Arizona (NOW HIRING)

Cloud Native Developer

Chandler, AZ

$55.50 - $75.75/hr

Google - Professional Data Engineer; AWS - Developer - Associate; Azure - MCSA: Cloud Platform (Development Focus) * Experience in working on scale applications Additional Information All your ...

Cloud Native Developer

Chandler, AZ · On-site

$55.50 - $75.75/hr

Google - Professional Data Engineer; AWS - Developer - Associate; Azure - MCSA: Cloud Platform (Development Focus) * Experience in working on scale applications Additional Information All your ...

Doctorate degree OR Master's degree and 2 years of Data Science or Engineering experience OR Bachelor's degree and 4 years of Data Science or Engineering experience OR Associate's degree and 8 years ...

Preferred Certifications Databricks Certified Data Engineer Associate / Professional Databricks Certified Solutions Architect AWS Certified Database Specialist or equivalent Cloud Certifications

Senior Electrical Studies Engineers * Associate Project Managers - Critical Environments What These Jobs Involve You'll be at the forefront of data center innovation, working on cutting-edge ...

$109K - $150K/yr

Information Systems Solutions (ISS) is seeking a Senior Data Security Engineer to support the ... Associate) · GCED · GCIH And Computing Environment certification (RHCSA, Linux or MCSA ...

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Associate Data Engineer information

See Arizona salary details

$9

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How much do associate data engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for associate data engineer in Arizona is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $18.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Arizona? The most popular types of Data Engineer jobs in Arizona are:
What job categories do people searching Associate Data Engineer jobs in Arizona look for? The top searched job categories for Associate Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Associate Data Engineer jobs? Cities in Arizona with the most Associate Data Engineer job openings:
Cloud Native Developer

$55.50 - $75.75/hr

Contractor

Re-posted 23 days ago


Job description

Company Description

Synthesis has extensive experience building large-scale, enterprise systems for government and commercial clients. We specialize in developing AI, Big Data, Data Analytics, iOS, Android, JEE, Portals, and database-driven applications. Our extensive knowledge spans across all application tiers. Since, we were founded in 2003, Synthesis has been delivering large-scale systems based on design patterns, service-oriented architectures, dynamic and intutive web interfaces, and web services. Our clients include Fortune 100 companies and a number of government agencies.

Job Description

As Cloud Application Developer, you will join our Cloud team and be responsible for developing modern, cloud-native, enterprise software that is hosted in the Microsoft Azure cloud environment providing online identity management, transaction processing, and security management in a Software as a Service (SaaS) environment. You will play an integral role in the success of the product delivery and quality.

Specific responsibilities will include:

  • Working with the platform architecture team members to understand and implement functionality for new solutions
  • Analyzing problems and implementing solutions that trade off architectural constraints of functionality, usability, performance, reliability, cost, and scalability
  • Designing and implementing modern single-page application (SPA) web-based user interfaces using best practices such as responsive design to support new functionality
  • Writing and modifying REST APIs using modern application development frameworks like Spring, Micronaut, and .NET Core
  • Designing and implementing new databases and using other forms of storage to persist application data
  • Leveraging messaging technologies to implement loosely coupled message-based systems
  • Delivering application enhancements as part of a continuous delivery methodology
  • Programming and executing unit test cases using test driven development practices
  • Supporting the full lifecycle of the application development including requirements gathering, design, functional and non-functional testing, release, and operations
  • Developing technical documentation to support operations and security audit processes
  • Complying with development guidelines (coding, change control, build, versioning)
  • Participating in peer code reviews
Qualifications

Basic Qualifications:

  • Bachelor's degree
  •  3+ years software development experience
  •  2+ years experience with micro-services, event driven, or other cloud native architecture
  • 2+ years experience with one or more of the following cloud providers: AWS, Azure or GCP

Preferred Qualifications:

  • Knowledge of EA principles and methodologies
  • Google - Professional Data Engineer; AWS - Developer - Associate; Azure - MCSA: Cloud Platform (Development Focus)
  • Experience in working on scale applications
Additional Information

All your information will be kept confidential according to EEO guidelines.

This is a contract position and independent contractors welcomed.