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Data Engineering Jobs in Gilbert, AZ (NOW HIRING)

Sarian, Inc.

Data Engineering

Phoenix, AZ · On-site

Must have 5-8 years of Data Engineering experience in a Big Data environment • Strong Data transformation/ETL skills using Spark, Python, PySpark, HiveQL • Must have hands on experience building ...

Owens & Minor

Senior Manager, Data Engineering

Phoenix, AZ · On-site +1

$140K - $155K/yr

Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI developers -Establishdelivery standards, performance expectations, and career development ...

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

EDUCATION & EXPERIENCE Bachelor's degree in Computer Science, Information Systems, Data Engineering ... Software Engineering, or a related field, or equivalent professional experience. 4+ years of ...

Dlapiper

Data Engineer

Phoenix, AZ

$113K - $136K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Citizens

Senior Manager, Data Engineering

Phoenix, AZ · Hybrid

Description Solution Engineering Manager We are seeking a Solution Engineering Manager to lead the design, delivery, and evolution of enterprise data and analytics solutions that power reporting ...

Citizens

Senior Manager, Data Engineering

Phoenix, AZ · Hybrid

Description Solution Engineering Manager We are seeking a Solution Engineering Manager to lead the design, delivery, and evolution of enterprise data and analytics solutions that power reporting ...

Perficientcorp Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

PySpark & Spark Python Hadoop Ecosystem SQL Data Engineering & ETL Development DataFrame-based Processing Large-Scale Data Processing Enterprise Big Data Platforms Agile Methodologies Nice-to-Have ...

Troon

Data Engineer

Scottsdale, AZ

$114K - $137K/yr

Serves as a technical leader in data engineering, driving best practices in pipeline design, data modeling, and platform optimization. Key Responsibilities: * Design, develop, and maintain end-to-end ...

Troon Golf

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Serves as a technical leader in data engineering, driving best practices in pipeline design, data modeling, and platform optimization. Key Responsibilities: * Design, develop, and maintain end-to-end ...

Intelliswift - An LTTS Company

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Required : • Bachelor's Degree in Computer Science, Computer Engineering or Electrical Engineering with 5+ years of data engineering experience, Master's Degree is a plus • 3+ years of experience ...

Vultus Inc

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * 3-7 years of experience in Data Engineering. * Strong programming skills in Python and SQL. * Experience with ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with ...

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All JobsData Engineering JobsData Engineering Jobs in Gilbert, AZ

Data Engineering information

See Gilbert, AZ salary details

$45.9K

$164.5K

$242.7K

How much do data engineering jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data engineering in Gilbert, AZ is $164,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,100.00 and $169,500.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure 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 optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Gilbert, AZ? The most popular types of Data Engineering jobs in Gilbert, AZ are:
What are popular job titles related to Data Engineering jobs in Gilbert, AZ? For Data Engineering jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Gilbert, AZ look for? The top searched job categories for Data Engineering jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Data Engineering jobs? Cities near Gilbert, AZ with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Gilbert, AZ as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $164,491 per year, or $79.1 per hour.

Data Engineering

Sarian, Inc.

Phoenix, AZ • On-site

Full-time

Re-posted 10 days ago

Job description

Must have 5-8 years of Data Engineering experience in a Big Data environment
• Strong Data transformation/ETL skills using Spark, Python, PySpark, HiveQL
• Must have hands on experience building data ingestion pipelines from Oracle Recruitment Cloud to a Big Data Environment cloud or on-prem
• Must have strong hands-on experience on data processing tasks using Spark/Python for cleansing and curating to populate analytical models
• Familiarity with data models and business processes in Learning &/or Recruiting modules of Oracle Fusion Cloud
• Data Savvy with strong analytical skills
• Capable of independently delivering work items and leading data discussions with Tech Leads, Architects, and Implementation Partners
• Prefer experience with CI/CD tools and code management processes
• Having prior experience on transition from Taleo to Oracle Fusion Cloud - nice to have
Roles & Responsibilities
• Must have hands-on experience for the required skill set mentioned above.
• Possess leadership ability to lead the deliverables independently without hand holding or assigning the work.
• Proactive in proposing design, new ideas and solutions.
• Work closely with client to understand the scope and liaise between Tech and product teams.
• Capable of independently delivering work items and leading data discussions with Tech Leads, Architects, and Implementation Partners

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