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Data Engineer Jobs in Florence, AZ (NOW HIRING)

Disney Experiences

Lead Data Engineer

Goodyear, AZ · On-site

$148K - $198K/yr

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 ...

New

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 Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

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 Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

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 Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

RIT Solutions, Inc.

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.

AWS data engineer

Chandler, AZ · On-site

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 ...

Iridium

Data Engineer III with Security Clearance

Chandler, AZ · On-site

$111K - $133K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

Agap Technologies

Data Engineer Training

Mesa, AZ

We are offering online training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting ...

Agap Technologies

Data Engineer Training

Mesa, AZ · On-site

... Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and obtaining OPT employment ...

IntraEdge

Data Architect

Chandler, AZ · On-site

$61.50 - $79/hr

We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics with a focus on secure, scalable, and resilient systems. This role will focus on developing ...

Inherent Technologies

GCP Architect

Chandler, AZ · Remote

$65.25 - $84/hr

Secaucus, NJ/Remote Duration: 1 Years JD: 8+ years of experience in Data Engineering or L3 level of support in data Analytics General Description Experience with Data Lake, data warehouse ETL ...

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All JobsData Engineer JobsData Engineer Jobs in Florence, AZ

Data Engineer information

See Florence, AZ salary details

$41.6K

$121.4K

$166.1K

How much do data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer in Florence, AZ is $121,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $128,600.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What cities near Florence, AZ are hiring for Data Engineer jobs?

Cities near Florence, AZ with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Florence, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,362 per year, or $58.3 per hour.

Lead Data Engineer

Disney Experiences

Goodyear, AZ • On-site

$148K - $198K/yr

Full-time

Posted 2 days ago

New

Walt Disney Company rating

7.6

Company rating: 7.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

5th of 52 rated entertainment

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.

What Walt Disney Company employees say

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About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

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