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Data Engineer Jobs in Gilbert, AZ (NOW HIRING)

Data Engineer

Phoenix, AZ ยท 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 ...

Data Engineer

Scottsdale, AZ ยท On-site

$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 ...

Data Engineer

Phoenix, AZ ยท 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 ...

Data Engineer

Phoenix, AZ ยท 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 ...

Data Engineer

Scottsdale, AZ ยท On-site

$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 ...

Data Engineer

Phoenix, AZ ยท On-site

$111K - $133K/yr

Role: Data Engineer Location: Phoenix, AZ onsite Job Type: Contract * Experience with strong data engineering and big data concepts (Hadoop, SQL, Hive) * Hands-on experience with PySpark and Python

Data Engineer

Phoenix, AZ

$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 ...

Data Engineer

Phoenix, AZ ยท On-site

$55 - $65/hr

Data Engineer Location: Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5:00 PM Benefits: This position is eligible for medical, dental, vision, and 401(k) . Pay: 55$ - 65$ an ...

Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Data Engineer Location: Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5:00 PM Benefits: This position is eligible for medical, dental, vision, and 401(k). Pay: 55$ - 65$ an ...

New

Data Engineer

Scottsdale, AZ ยท 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 ...

Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

The Data Engineer is a hands-on technical role focused on designing, developing, and optimizing enterprise data solutions. This individual will play a key role in advancing modern data engineering ...

Data Engineer

Phoenix, AZ ยท 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 ...

Data Engineer

Scottsdale, AZ

$115K - $138K/yr

You will work closely with the Head of Data Engineering and cross-functional partners across Product, Engineering, Analytics, and AI Systems to improve the quality, reliability, and usability of ...

Data Engineer

Scottsdale, AZ ยท 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 ...

Data Engineer

Scottsdale, AZ ยท 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 ...

Data Engineer

Phoenix, AZ ยท 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 ...

Data Engineer

Phoenix, AZ ยท On-site

$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 ...

Data Engineer

Phoenix, AZ ยท On-site

$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 ...

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 ...

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Data Engineer information

See Gilbert, AZ salary details

$44.4K

$129.3K

$177K

How much do data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer in Gilbert, AZ is $129,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,100.00 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.

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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Gilbert, AZ? The most popular types of Data Engineer jobs in Gilbert, AZ are:
What are popular job titles related to Data Engineer jobs in Gilbert, AZ? For Data Engineer jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Gilbert, AZ look for? The top searched job categories for Data Engineer jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Data Engineer jobs? Cities near Gilbert, AZ with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Gilbert, AZ as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,334 per year, or $62.2 per hour.

Data Engineer

RIT Solutions

Phoenix, AZ โ€ข On-site

$113K - $136K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


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.