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Data Engineer Jobs in Phoenix, AZ (NOW HIRING)

RIT Solutions

Data Engineer

Phoenix, AZ

$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 ...

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 ...

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 ...

Vultus Inc

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data Engineer Location Hyderabad, India (Hybrid) Employment Type Full-Time Experience 3-7 Years Salary ₹8 LPA - ₹18 LPA (Based on experience and skills) Job Summary We are looking for a skilled ...

Troon

Data Engineer

Scottsdale, AZ

$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 ...

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 ...

Judge Group, Inc.

Data Engineer

Scottsdale, AZ · On-site

$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 ...

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 ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Corning

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Position Summary The Manufacturing Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is ...

Corning

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Position Summary The Manufacturing Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Corning

Data Engineer

Tolleson, AZ

$112K - $135K/yr

Position Summary The Manufacturing Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$104K - $125K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

ADELANTE HEALTHCARE INC

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

The Data Engineer plays a critical part in delivering validated, governed, and actionable data products that drive decision-making throughout the business. This position involves end-to-end ownership ...

ADELANTE HEALTHCARE INC

Data Engineer

Phoenix, AZ

$108K - $130K/yr

The Data Engineer plays a critical part in delivering validated, governed, and actionable data products that drive decision-making throughout the business. This position involves end-to-end ownership ...

Raytheon

Data Engineer

Phoenix, AZ · Remote

$113K - $136K/yr

As a Data Engineer, you will be responsible for designing and developing data solutions including data ingest and consumption workflows, transformation, modelling, and resulting analytics. You will ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Phoenix, AZ

Data Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Phoenix, AZ? The most popular types of Data Engineer jobs in Phoenix, AZ are:
What are popular job titles related to Data Engineer jobs in Phoenix, AZ? For Data Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Phoenix, AZ look for? The top searched job categories for Data Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Data Engineer jobs? Cities near Phoenix, AZ with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Phoenix, AZ as of July 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $128,797 per year, or $61.9 per hour.
Data Engineer

Data Engineer

RIT Solutions

Phoenix, AZ

$113K - $136K/yr

Full-time

Posted 5 days ago

Job description

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 will work closely with developers, QA's, Scrum Master and other stakeholders to ensure data availability, reliability, and integrity. Your expertise will be key in transforming raw data into actionable insights that drive our business forward.

Key Responsibilities

  • Design and Develop Data Pipelines: Create and maintain scalable ETL (Extract, Transform, Load) processes to gather, process, and store data from various sources. Optimize data pipelines for performance and reliability.
  • Database Management: Design, implement, and manage robust, scalable, and efficient databases. Ensure data security, availability, and performance.
  • Data Integration: Integrate data from multiple sources, ensuring consistency and accuracy. Work with APIs and other data integration tools.
  • Data Quality and Governance: Implement data quality checks and ensure data governance practices are followed. Monitor data quality and integrity, addressing any issues promptly.
  • Collaboration: Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs. Work closely with DevOps and IT teams to ensure seamless deployment and operation of data solutions.
  • Documentation and Best Practices: Document data processes, workflows, and architectures. Promote best practices in data engineering and contribute to the continuous improvement of the data infrastructure.

Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL). Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Proficiency in programming languages such as Kotlin and Java. Familiarity with front-end technologies, particularly React.js, for data visualization and UI integration. Experience with Google Cloud Platform and its data-related services (e.g., BigQuery, Dataflow, Pub/Sub). Strong understanding of data warehousing concepts and experience with data warehouse solutions (e.g., BigQuery). Knowledge of data modeling, data architecture, and ETL processes. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

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