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Aws Data Engineer Jobs in Arizona (NOW HIRING)

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

RIT Solutions, Inc. is seeking an AWS Data Engineer for a contract position. The role involves utilizing AWS services and data engineering skills to manage and process data effectively.

RIT Solutions, Inc. is seeking an AWS Data Engineer to join their team in Chandler, AZ. The role involves working with AWS services, data warehousing, and ETL tools to manage and process data ...

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Intelliswift, an LTTS Company, is seeking a Data Engineer to build optimal cloud-based data ... Responsibilities : • Build optimal cloud-based data pipeline in AWS • Build automated data ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora * Skilled in AWS ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Expertise with modern data engineering technologies such as Spark, Databricks, Kafka, Snowflake, Azure Data Services, AWS Data Services, or similar platforms. * Strong proficiency in SQL and Python.

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big Data Technologies.

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Expertise with modern data engineering technologies such as Spark, Databricks, Kafka, Snowflake, Azure Data Services, AWS Data Services, or similar platforms. * Strong proficiency in SQL and Python.

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Expertise with modern data engineering technologies such as Spark, Databricks, Kafka, Snowflake, Azure Data Services, AWS Data Services, or similar platforms. * Strong proficiency in SQL and Python.

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Company Description Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Title: Data Engineer Location: Phoenix, AZ (Day 1 Onsite) Job Type: Contract - Long Term ... Hands-on experience with AWS, Azure, or GCP managed database services * Basic to intermediate ...

Data Engineer

Chandler, AZ · On-site

$116K - $140K/yr

Amazon AWS S3 - Object storage, security, data service integration with S3 * Data modelling and ... Exposure in GCP cloud data engineering is a plus. Note: Manager Notes: * The candidates need to be ...

Data Engineer

Chandler, AZ · On-site

$116K - $140K/yr

Amazon AWS S3 - Object storage, security, data service integration with S3 * Data modelling and ... Exposure in GCP cloud data engineering is a plus. Note: Manager Notes: * The candidates need to be ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... AWS, Azure, or Google Cloud Platform . · Familiarity with orchestration tools such as Airflow, Dagster, or similar is preferred.

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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:

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.

AWS data engineer

RIT Solutions, Inc.

Chandler, AZ • On-site

$63.50 - $83.50/hr

Full-time

Re-posted 22 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking an AWS Data Engineer for a contract position. The role involves utilizing AWS services and data engineering skills to manage and process data effectively.
Responsibilities:
• Must have: aws data, datazone, databricks, glue or spark, python, data warehousing, CI/CD
• Bachelor's degree in Computer Science, Engineering or related field
• 5+ years of experience as a Data Engineer or similar role
• Strong proficiency with AWS services (e.g. S3, Glue, Macie)
• Experience with SQL and NoSQL databases
• Proficiency in programming languages like Python, Terraform, Scala or Java for data processing
• Experience with ETL tools and frameworks (e.g. AWS Glue, Apache Spark)
• Familiarity with data modeling, schema design and data warehousing concepts
• Knowledge of CI/CD practices and version control systems
• Strong problem solving skills and attention to detail
• AWS Certification (e.g. AWS Certified Data Analytics, AWS Certified Solutions Architect)
• Experience with big data technologies like Hadoop, Spark or Kafka
• Knowledge of data governance and compliance frameworks
• Experience with IaC tools like Terraform
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering or related field
• 5+ years of experience as a Data Engineer or similar role
• Strong proficiency with AWS services (e.g. S3, Glue, Macie)
• Experience with SQL and NoSQL databases
• Proficiency in programming languages like Python, Terraform, Scala or Java for data processing
• Experience with ETL tools and frameworks (e.g. AWS Glue, Apache Spark)
• Familiarity with data modeling, schema design and data warehousing concepts
• Knowledge of CI/CD practices and version control systems
• Strong problem solving skills and attention to detail
• AWS Certification (e.g. AWS Certified Data Analytics, AWS Certified Solutions Architect)
• Experience with big data technologies like Hadoop, Spark or Kafka
• Knowledge of data governance and compliance frameworks
• Experience with IaC tools like Terraform
• Deep AWS Data knowledge
• DataZone & DataBricks
• Glue, Spark, ETL
• Python
• CI/CD pipelines
• Understanding of data warehouse/lakehouse design
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.