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Aws Data Engineer Jobs in Arizona (NOW HIRING)

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · On-site +1

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Build and enhance data ingestion frameworks using AWS services such as Glue and DataSync, along ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · On-site +1

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Build and enhance data ingestion frameworks using AWS services such as Glue and DataSync, along ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · On-site

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ... Build and enhance data ingestion frameworks using AWS services such as Glue and DataSync, along ...

Globe Telecom, Inc.

Data Engineer Manager

Globe, AZ

$108K - $130K/yr

The Data Engineering Manager is responsible for the designing, building, and maintaining automated ... Strong working knowledge of cloud platforms (AWS preferred; GCP and Azure are a plus), including ...

Syntricate Technologies

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Required : • Big Data Engineer with mapreduce, spark, hive, sql skillset • Expert in SQL and Data warehousing concepts. • Hands-on experience with public cloud data warehouse (GCP, Azure, AWS ...

Radix Software, Inc

Data Engineer

Scottsdale, AZ · On-site

$150 - $200/hr

Strong understanding of cloud‑based data infrastructure, including AWS, Terraform, CI/CD ... engineering productivity while maintaining trust, accuracy, and governance. * Familiar with ...

Viasat, Inc.

Data Engineer

Tempe, AZ · On-site

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Familiarity with at least one cloud provider such as AWS, GCP, or Azure. * Experience in design and ...

Viasat

Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

They are seeking a Data Engineer to build infrastructure and tools for data collection and ... such as AWS, GCP, or Azure. • Experience in design and implementation of robust and highly ...

Radix

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Strong understanding of cloud-based data infrastructure, including AWS, Terraform, CI/CD ... engineering productivity while maintaining trust, accuracy, and governance. * Familiar with ...

Deloitte

Data Engineer II

Tempe, AZ · On-site

$109K - $131K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.

EXL Service

Principle Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Python, Pyspark/Spark, SQL, Data Lake (ON Prem or cloud) AWS, Snowflake. Job Summary: The Data Engineer's role is to play a lead role in developing a high-performance data platform, integrating data ...

Deloitte

Sr Databricks Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ... Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ...

Disney Experiences Careers

Lead Data Engineer

Tucson, AZ · On-site

$148K - $198K/yr

Helix is our enterprise data platform, powering everything from personalization to operational ... and AWS services such as Lambda, Kinesis, DMS, and AppFlow. * A strong focus on developer ...

Disney Experiences Careers

Lead Data Engineer

Mesa, AZ · On-site

$148K - $198K/yr

Helix is our enterprise data platform, powering everything from personalization to operational ... and AWS services such as Lambda, Kinesis, DMS, and AppFlow. * A strong focus on developer ...

Disney Experiences Careers

Lead Data Engineer

Mesa, AZ · On-site

$148K - $198K/yr

Helix is our enterprise data platform, powering everything from personalization to operational ... and AWS services such as Lambda, Kinesis, DMS, and AppFlow. * A strong focus on developer ...

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Showing results 21-40

All JobsAws Data Engineer JobsAws Data Engineer Jobs in Arizona

Aws Data Engineer information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do aws data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for aws data engineer in Arizona is $120,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

What are the key skills and qualifications needed to thrive as an AWS data engineer?

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

What is the difference between Aws Data Engineer vs Data Analyst?

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What does an AWS Data Engineer do?

An AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services. They work with tools like AWS Glue, Redshift, S3, and Lambda to process and analyze large datasets, ensuring data quality and security. Strong programming skills and knowledge of cloud architecture are essential for this role.

What is the salary of AWS Data Engineer?

The average salary for an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Senior roles or those with specialized skills in cloud architecture may earn higher salaries.

What are the most commonly searched types of Aws Data Engineer jobs in Arizona?

The most popular types of Aws Data Engineer jobs in Arizona are:

What are popular job titles related to Aws Data Engineer jobs in Arizona?

For Aws Data Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Aws Data Engineer jobs in Arizona look for?

The top searched job categories for Aws Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Aws Data Engineer jobs?

Cities in Arizona with the most Aws Data Engineer job openings:

Aws Data Engineer jobs near you
Infographic showing various Aws Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.

Data Engineer -

Inabia Solutions and Consulting, Inc.

Phoenix, AZ • On-site

Contractor

Posted 13 days ago

Key responsibilities

  • Design and define enterprise-level database architectures, standards, patterns, and best practices

  • Design scalable database solutions encompassing data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery

  • Collaborate with AI/ML and GenAI teams, providing architectural guidance on embeddings, vector databases/search, and RAG patterns

Job description

Overview
Inabia is seeking an experienced Data Engineer with strong expertise across data engineering, database architecture, cloud platforms, and application architecture. This role is responsible for designing and implementing reliable, scalable, secure, and high-performance data solutions in close collaboration with application architects, cloud engineers, data scientists, and application development teams. The ideal candidate brings hands-on experience building scalable data pipelines and platforms, deep SQL and data modeling skills, working Python knowledge, and meaningful exposure to AI/ML and Generative AI technologies.
Responsibilities
  • Design and define enterprise-level database architectures, standards, patterns, and best practices
  • Evaluate and select relational, NoSQL, and cloud-native database technologies based on business and technical requirements
  • Design scalable database solutions encompassing data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery
  • Provide platform expertise across PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or similar systems
  • Design and support database solutions deployed on AWS, Azure, or GCP
  • Lead or support on-premises-to-cloud database migrations and modernization initiatives
  • Optimize database performance through query tuning, indexing, partitioning, and capacity planning
  • Establish and enforce database security standards including encryption, access controls, auditing, data protection, and regulatory compliance
  • Use Python for database automation, scripting, data processing, validation, and operational tasks
  • Collaborate with AI/ML and GenAI teams, providing architectural guidance on embeddings, vector databases/search, and RAG patterns
  • Create and maintain architecture diagrams, database standards documentation, and technical reference materials
  • Provide technical leadership, conduct architecture reviews, support troubleshooting efforts, and mentor team members

Key Qualifications
  • Strong experience in database architecture, engineering, or administration at enterprise scale
  • Deep understanding of relational database concepts: SQL, data modeling, normalization, indexing, transactions, and performance optimization
  • Hands-on experience with one or more major database platforms (PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, or equivalent)
  • Hands-on experience with AWS, Azure, or GCP managed database services
  • Solid understanding of cloud architecture principles: scalability, high availability, security, monitoring, backup, and disaster recovery
  • Demonstrated experience with database migration and modernization projects
  • Basic to intermediate Python skills for scripting, automation, and data processing
  • Experience with cloud-native and distributed database architectures, Infrastructure as Code (IaC), and DevOps/CI/CD practices
  • Knowledge of database observability, monitoring, and automated operations
  • Experience with data governance, security, privacy, and regulatory compliance requirements
  • Proven track record supporting large-scale, high-volume, highly available enterprise systems
  • Strong problem-solving, analytical, written communication, and documentation skills

Preferred Qualifications
  • Familiarity with vector databases, embeddings, semantic search, large language models (LLMs), and Retrieval-Augmented Generation (RAG) patterns
  • Basic understanding of AI/ML and Generative AI concepts as they relate to data platform design

Apply