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Aws Data Engineer Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site

$50 - $55/hr

A client of Innova Solutions is immediately hiring for a Data Engineer Job Type: Full-Time / ... AWS Advanced Tier Services Partner with 100+ certifications Website : Innova Solutions offers a ...

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 ...

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 ...

Lead Data Engineer

Goodyear, 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 ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Experience with cloud data platforms (Google Cloud, Azure, or AWS); Google Cloud experience ... Scripting/programming experience (Python or similar) for automation and data transformation a plus.

Lead Data Engineer

Phoenix, 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 ...

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 ...

Data Engineer II (ICP)

Scottsdale, AZ · On-site

$125 - $150/hr

Data Engineer II works closely with the business and translates the requirements into technical ... Required1 year, Experience with cloud technologies such as Azure or AWS Preferred2 years, Healt ...

Data Engineer II (ICP)

Scottsdale, AZ · Hybrid

$115K - $138K/yr

Data Engineer II works closely with the business and translates the requirements into technical ... Required * 1 year, Experience with cloud technologies such as Azure or AWS Preferred * 2 years ...

Data Engineer II (ICP)

Scottsdale, AZ · On-site

$115K - $138K/yr

Data Engineer II works closely with the business and translates the requirements into technical ... Required * 1 year, Experience with cloud technologies such as Azure or AWS Preferred * 2 years ...

Data Engineer

Phoenix, AZ · On-site

$40 - $42/hr

A client of Innova Solutions is immediately hiring for a Data Engineer position Position type ... AWS Advanced Tier Services Partner with 100+ certifications Website : Innova Solutions offers a ...

Som Data Engineer hos oss bygger du moderna dataflöden och dataplattformar där kvalitet ... Airflow, ADF, Dagster) Erfarenhet av molnplattform (Azure / AWS / GCP) och IaC (t.ex. Terraform ...

Adobe AEP engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Adobe AEP engineer Job Location: Phoenix, AZ Job Type: Contract * Adobe Experience Platform AEP ... Experience with public cloudbased data platforms especially Snowflake and AWS Data integration ...

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Google Cloud Platform Data Engineer (Day 1 onsite - Hybrid 3 days a week in office) Location ... Hands-on experience with public cloud data warehouse (Google Cloud Platform, Azure, AWS). Must have ...

Lead Forward Deployed Engineer - AWS

Tempe, AZ · On-site

$98K - $129K/yr

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 ...

Showing results 41-60

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 8, 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 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.

Lead Data Engineer

Chandler Heights, AZ • On-site

$148K - $198K/yr

Other

This job post has expired 4 days ago. Applications are no longer accepted.


Job description

About The Role & Team Do you want to lead the development of tools that data engineers and business users rely on every day to build, ship, and govern data products at Disney Experiences? Helix is our enterprise data platform, powering everything from personalization to operational reporting across the business. Helix is scaling fast, and the tools engineers use to build on it need to keep pace. Own the data engineering frameworks and capabilities for Orbit and Book of Work, defining how data sources and data products are configured, built, deployed, observed, and operated on Helix. You'll set the technical design, write and review code, and partner with Data Architecture on key architectural decisions. This is a hands-on lead role. You're accountable for the code that gets built, its quality, and what ultimately gets deployed. This role sits in the Data Products & Platforms organization in Disney Experiences Technology and reports to the Director of Platform Strategy & Governance. What You'll Do: * Own the build and integration of Orbit and Book of Work, including the reusable pipeline frameworks and engineering capabilities that take data sources and products from definition through build, deployment, and ongoing operation on Helix. * Design automation and AI capabilities that translate intent into data engineering action, reducing the manual steps between an identified need and a production-ready data source or product. * Design how application data, metadata, engineering artifacts, and workflow state move and persist across the platform to enable reliable data pipelines, data product development, automation, and end-to-end engineering workflows. * Write and review production-quality code for reusable data engineering frameworks and platform capabilities, including pipeline orchestration, data processing, transformation, services, APIs, metadata, and platform integrations. * Set the design standards and QA processes for both tools, ensuring data remains compatible, operable, and reliable across every connection, transmission, and storage system it touches. * Analyze how internal and external needs are evolving and recommend changes to systems and storage to keep pace. * Help scope, estimate, and plan large, complex projects, including budget. * Track emerging technologies and bring back concrete, informed recommendations. * Own the technical health of Orbit and Book of Work in production, including observability, incident escalation, root-cause analysis, and improvements that prevent recurring operational issues. What You'll Need: * 7+ years of related work experience. * Strong data engineering skills in Python and SQL, with scripting experience for data extraction, transformation, automation, and building performant data solutions. * Experience across relational, NoSQL, cloud, and modern data platform technologies, including environments such as Snowflake, SQL Server, Postgres, DynamoDB, Redis, and AWS services such as Lambda, Kinesis, DMS, and AppFlow. * A strong focus on developer experience, including intuitive workflows, sensible defaults, observability, and reducing cognitive load for engineers. * Experience using AI, ML, or automation to remove meaningful manual work from data pipeline or data product delivery workflows. * Comfort setting technical direction and design standards for a team and defending those decisions. * Experience working in agile environments and partnering across engineering and business teams as requirements shift. * Familiarity with Snowflake and modern data platform tooling, such as Snowpipe Streaming and Snowsight, with the drive to keep growing into new data engineering tools and methods. Required Education * Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. #DISNEYTECH The hiring range for this position in FL is $148,300 - $198,800 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.