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Amazon Data Engineer Jobs in Arizona (NOW HIRING)

Forhyre

Data Engineer

Phoenix, AZ

$113K - $136K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

Sarian, Inc.

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... as Amazon Redshift, Google BigQuery, or Apache Airflow 6) Knowledge of Airflow and CI/CD pipelines 7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc Roles ...

Deloitte

Sr Databricks Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Amazon

Data Center Chief Engineer

Avondale, AZ · On-site

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

Amazon

Data Center Chief Engineer , DCEO

Avondale, AZ · On-site

Amazon Web Services (AWS) is looking for a detail-oriented individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure ...

Info Way Solutions

Cloud Engineer

Phoenix, AZ · On-site

$55.25 - $74/hr

Info Way Solutions is seeking a skilled and experienced Cloud Data Engineer to join their dynamic ... and managing data platforms on AWS. • Strong hands-on experience with Amazon EKS (Elastic ...

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Amazon Data Engineer information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do amazon data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for amazon 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 Amazon data engineer?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

What do Amazon data engineers do?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

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

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

Is an Amazon Data Engineer in demand?

Amazon Data Engineers are in high demand due to the company's extensive data infrastructure needs, with skills in cloud platforms like AWS, data pipelines, and SQL being highly sought after. The role offers strong job growth prospects as organizations increasingly rely on data-driven decision making.

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

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

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

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

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

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

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

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

Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in Arizona as of September 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.

Data Engineer

Phoenix, AZ

Forhyre
1 - 10 employees
Learn more about Forhyreexternal

$113K - $136K/yr

Full-time

Re-posted 19 days ago

Key responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform

  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, including data models, ETL, and reporting elements

  • Execute and support testing cycles and post-production deployment, including peer code reviews

Job description

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL
Secondary: Databricks
Nice to have: Informatica/ETL.
 

Responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform
  • Understand the full end to end development activities from design to go live for ETL development and Azure platform
    Recommend and execute improvements
  • Document component design for developers and for broader communication.
  • Understand and adopt an Agile (SCRUM like) software development mindset
  • Follow established processes/standards, business technology architecture for development, release management and deployment process
  • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
  • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
  • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
  • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.

Requirements

  • Proven working experience as a data engineer
  • Bachelor degree or equivalent in Computer Science
  • Skilled in Python object-oriented programming
  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Skilled in SQL
  • Skilled in Jenkins
  • Skilled in JSON
  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
  • Skilled in cloud technologies and cloud computing
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
  • Determining causes of operating errors and taking corrective action
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
  • Programming including coding, debugging, and using relevant programming languages
  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process
  • Experience helping an organization to plan and manage change in effort to meet strategic objectives
  • Adept at managing project plans, resources, and people to ensure successful project completion
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal