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Data Engineer Jobs in Arizona (NOW HIRING)

InterSources

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Senior Data Engineer - Azure & Databricks We are seeking a highly skilled Senior Data Engineer to design, implement, and support advanced analytics and data engineering solutions using Microsoft ...

RIT Solutions

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer As a Data Engineer at our client, you will play a crucial role in designing, building, and maintaining the data architecture that powers our analytical and operational capabilities. You ...

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and ...

New

RIT Solutions, Inc.

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer 3 days Phoenix, As a Data Engineer at our client, you will play a crucial role in designing, building, and maintaining the data architecture that powers our analytical and operational ...

Samprasoft

Data Engineer

Scottsdale, AZ

$115K - $139K/yr

Data Engineer Education Bachelors Degree in Computer Science Information Technology Engineering or related field Experience Skills Qualifications 6 years of experience in Data Engineering with an ...

Cynet Systems

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data Engineering Manager Design, develop, and maintain scalable, production-grade ELT pipelines using Snowflake and dbt (Core or Cloud). Lead technical design discussions and provide architectural ...

Dlapiper

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Troon Golf

Data Engineer

Gilbert, AZ

$114K - $137K/yr

Data Engineer Troon's Corporate office, located in Scottsdale, AZ, is pleased to announce an excellent career opportunity for a Data Engineer! We are seeking a highly motivated individual who is ...

MST Solutions

Data Engineer

Phoenix, AZ · On-site

$109K - $131K/yr

Data Engineer Responsibilities: * Design, build, and maintain scalable and efficient data pipelines. * Manage and transform large datasets using cutting-edge technologies. * Organize and optimize ...

MST Solutions

Data Engineer

Phoenix, AZ · On-site

$109K - $131K/yr

Data Engineer Responsibilities: * Design, build, and maintain scalable and efficient data pipelines. * Manage and transform large datasets using cutting-edge technologies. * Organize and optimize ...

MST Solutions

Data Engineer

Phoenix, AZ · On-site

$109K - $131K/yr

Data Engineer Responsibilities: * Design, build, and maintain scalable and efficient data pipelines. * Manage and transform large datasets using cutting-edge technologies. * Organize and optimize ...

Kaav Inc.

Data Engineer

Scottsdale, AZ · On-site

$115K - $139K/yr

JOB SPECIFICATIONS Education Bachelors Degree in Computer Science Information Technology Engineering or related field Experience Skills Qualifications 6 years of experience in Data Engineering with ...

Corning Incorporated

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data Engineer Date: Jun 11, 2026 Location: Phoenix, AZ, US, 85353 Company: Corning Requisition Number: 74967 **The company built on breakthroughs. ​ ** **Join us.​ ** Corning is one of the ...

Troon

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across ...

Intelliswift - An LTTS Company

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Intelliswift, an LTTS Company, is seeking a Data Engineer to build optimal cloud-based data pipelines and automated data ingestion processes. The role involves developing and deploying cloud-based ...

Judge Group, Inc.

Data Engineer

Scottsdale, AZ · Remote

$60 - $70/hr

Data Engineer Location: Scottsdale, AZ Remote: NO Length: 6 months (potential contract to hire) Contact: Brian Merin; ; Summary: Leads the design and implementation of data infrastructure, driving ...

State Farm

Data Engineer

Phoenix, AZ · Hybrid

$113K - $136K/yr

The State Farm Innovation Group is looking for an experienced Data Engineer to join the AIMD team, focused on Advanced AI, Modeling and Data. This position calls for flexibility and learning agility ...

New

Troon Golf

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across ...

Corning Incorporated

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

The Data Engineer will design and implement data structures and analytical solutions to improve decision-making and operational excellence across various functions. Responsibilities : • Identify ...

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All JobsData Engineer JobsData Engineer Jobs in Arizona

Data Engineer information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do data engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for 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 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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Arizona? The most popular types of Data Engineer jobs in Arizona are:
What are popular job titles related to Data Engineer jobs in Arizona? For Data Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Arizona look for? The top searched job categories for Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Data Engineer jobs? Cities in Arizona with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in AZ? For Data Engineer jobs in AZ, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Arizona as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.
Data Engineer

Data Engineer

InterSources

Phoenix, AZ

$113K - $136K/yr

Other

Posted 11 days ago

Job description

Senior Data Engineer – Azure & Databricks

We are seeking a highly skilled Senior Data Engineer to design, implement, and support advanced analytics and data engineering solutions using Microsoft Azure technologies. This role involves working closely with product owners and application teams to build scalable, secure, and high-performance data pipelines and analytics platforms. You will lead cloud-based data migration efforts, implement batch and streaming solutions, and contribute to the full development lifecycle including infrastructure, security, CI/CD, and production support.

Key Responsibilities:

  • Collaborate with cross-functional teams to design and deliver analytics solutions that drive business insights.
  • Develop and maintain data engineering solutions using Azure services such as Azure Data Factory, Azure Databricks, Azure Functions, Event Hub, and Stream Analytics.
  • Lead cloud engineering efforts including infrastructure setup, network configuration, and security implementation.
  • Build and optimize batch and streaming data pipelines for real-time and historical data processing.
  • Support the full development lifecycle: ingestion, modeling, testing, deployment, monitoring, and production support.
  • Provide technical leadership and mentor junior engineers.
  • Work within Agile and DevOps frameworks to ensure continuous delivery and operational excellence.
  • Collaborate with geographically dispersed teams and align with CST time zone work hours.
InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Year founded

2007

Social media

Twitter

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