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Data Engineer Jobs in Arizona (NOW HIRING)

LHH US

Data Engineer

Phoenix, AZ · On-site

$110K - $120K/yr

Data Engineer We're hiring an experienced Data Engineer to support eligibility and membership data on a modern analytics platform built with Microsoft Fabric. This role focuses on building reliable ...

Concord IT Systems

Data Engineer

Scottsdale, AZ · On-site

$115.80K - $139.10K/yr

Data Engineer Location: Scottsdale, AZ (onsite day 1) Key Responsibilities: Build frameworks for data ingestion pipeline for a variety of data sources: batch and real-time Participate in technical ...

Prophecy Technologies

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Role: GCP Data Engineer (Data Engineering & Analytics / Cloud Migration) Location: phoenix , AZ / Philadelphia , PA Competencies Must-Have: Strong experience in GCP (Google Cloud Platform) data ...

Forhyre

Data Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

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 ...

Prophecy Technologies

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Role: GCP Data Engineer (Data Engineering & Analytics / Cloud Migration) Location: phoenix , AZ / Philadelphia , PA Competencies Must-Have: Strong experience in GCP (Google Cloud Platform) data ...

Hangar Worldwide

Data Engineer -Mauritius

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Data Engineer Show the world what you can do. We're looking for an inspired, motivated Data Engineer to join our team. The Data Engineer facilitates the flow of oftentimes massive quantities of raw ...

Info Way Solutions

Data engineer

Phoenix, AZ · Hybrid

$113.70K - $136.50K/yr

Location - Phx Duration - 6+ months easily Positions - 2 Skills - Need two very string Data Engineers with extremely good hold on Bigdarta, MySQL, Python, GCP-Airflow. Working mode - Hybrid (3 days ...

Zortech Solutions

Data Engineer USA

Paradise Valley, AZ · Hybrid

$115.80K - $139K/yr

Data Engineer Role: Data Engineer Required legal status: Green Card, Green Card-EAD, US Citizen Location: Charlotte, NC (Hybrid work model) Job involves: * Extract, Transform, Load (ETL) operations

SkyTouch Technology

Staff Data Engineer

Scottsdale, AZ · Hybrid

$115.80K - $139.10K/yr

Staff Data Engineer ** This role is not eligible for sponsorship AND is four days onsite hybrid at our N. Scottsdale office ** Who Are We Looking For? Choice Hotels has an exciting new opportunity as ...

Stellar IT Group

Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform & Pipeline Development * Design, develop, and maintain cloud-native data pipelines using Databricks ...

Revature

Entry Level Data Engineer

Arizona City, AZ

$115.30K - $138.40K/yr

Data Engineers build and maintain the infrastructure that enables organizations to collect, store, and analyze data efficiently. As an Entry-Level Data Engineer at Revature, you will gain: Benefits ...

Samprasoft

GKE Data Engineer

Scottsdale, AZ · On-site

$115.80K - $139.10K/yr

Gke Data Engineering Lead Our client is in need of a GKE Data Engineering Lead for a 2 year engagement to assist in solutioning the architecture as we transform the rebate processing system from ...

Diverse Lynx

Sr Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Sr Data Engineer Location - Phoenix, AZ Fulltime/FTE $100000 to $120000/Annum Role - Sr Data Engineer Experience Required - 6+ Years Must Have Technical/Functional Skills * Strong hands-on experience ...

Diverse Lynx

Sr Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Role - Sr Data Engineer Location - Phoenix, AZ Fulltime/FTE $100000 to $120000/Annum Role - Sr Data Engineer Experience Required - 6+ Years Must Have Technical/Functional Skills • Strong hands-on ...

Tror AI for everyone

Data Engineer

Scottsdale, AZ · On-site

$115.40K - $138.50K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note: Need 12+ years of experience resumes*** Must have: * Strong Experience in Scala, Spark, hive SQL ...

Paycor

Data Engineer

Tempe, AZ · On-site

$99.60K - $156.50K/yr

Data Engineer Imagine your future with us! Since 1971, Paychex has been at the forefront of simplifying HR, payroll, and benefits for American businesses. Our digital HR technology and advisory ...

Viasat, Inc.

Data Engineer

Tempe, AZ · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Paychex

Data Engineer

Tempe, AZ · On-site

$99.60K - $156.50K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience - Required * 4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or ...

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People also search for

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 May 28, 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 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 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.

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 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.

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.

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 May 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.

Data Engineer

METASOFT SOLUTIONS LLC (Formerly - MST Solutions)

Phoenix, AZ • Remote

$114.50K - $137.50K/yr

Full-time

Posted 12 days ago

Job description

POSITION TITLE: Data Engineer
OFFICE LOCATION: Phoenix, AZ
CORE TIME ZONE: MST
FULL-TIME WORKING REMOTELY (from home): Yes
REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time)
POSITION SUMMARY:
We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives
PRINCIPAL RESPONSIBILITIES:
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data' technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Troubleshoots issues with minimal guidance, identifies bottlenecks in existing data workflows and provides solutions for a scalable, defect-free application
• Works with onshore/offshore team to analyze, develop and improve pipeline run times as well as produce accurate defect free code
• Complies with Company policy and practices relating to the System Development Life Cycle.
• Provides Tier 3 support and resolution of IT issues escalated by IT Customer Support.
• Support audit and compliance reporting requests.
• Support the operation of MarkLogic and Snowflake products on a 24/7 basis as needed.
• Supports production environment in the event of emergency
• Participate in on-call support 24x7 weekly rotation of the operation of Informatica.
• Performs other job-related duties as assigned or apparent.
MINIMUM QUALIFICATIONS:
• 2+ years of experience in a Data Engineer role, who has attained a bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• AWS: 1 year experience
• DevOps Practices: 1 year experience
• 2+ years' experience working with data warehousing, ETL development and ETL architecture.
• 2+ years' experience combined experience with any of the following database technologies (RDBMS: MSSQL, MySQL Oracle; NoSQL: MarkLogic, Snowflake, DynamoDB, Redis).
• 2 years' experience working on large data initiatives (?5 terabytes).
• 1 years' experience with JavaScript
PREFERRED QUALIFICATIONS:
• 2+ years' experience working with data warehousing, ETL development and ETL architecture.
• 2+ years' experience combined experience with any of the following database technologies (RDBMS: MSSQL, MySQL Oracle; NoSQL: MarkLogic, Snowflake, DynamoDB, Redis).
• 2 years' experience working on large data initiatives (?5 terabytes).
• 1+ years' experience with JavaScript
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data' data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Good knowledge and experience of working with OO Javascript, XHTML, CSS, XML, Ajax and one or more JavaScript libraries (e.g. Prototype, JQuery)
• Experience with web services (e.g. RESTful services), including the ability to programmatically interact with data formats that may include XML, JSON and RDF
• Experience with writing software for complex web-based business applications which makes use of client-side data capture, validation and presentation
• Working knowledge of version control systems (e.g. SVN, Git)