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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 ...

American Express

Sr Mgr-Data Engineering

Phoenix, AZ · On-site

We bring together cutting-edge capabilities across digital experience engineering (web and mobile), AI/ML, marketing technology, enterprise platforms, and data governance. Marketing at American ...

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 ...

Inficare Technologies

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

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 * Hands-on experience with SQL

Dlapiper

Data Engineer

Phoenix, AZ · On-site

$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 ...

Addison Group

Data Engineer

Phoenix, AZ · On-site

$55 - $65/hr

Improve data quality and governance Qualifications * 3+ years of Data Engineering experience * SQL expertise * Python * Snowflake or Databricks * Azure Data Factory * Power BI experience is a plus ...

Addison Group

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Improve data quality and governance Qualifications * 3+ years of Data Engineering experience * SQL expertise * Python * Snowflake or Databricks * Azure Data Factory * Power BI experience is a plus ...

Radix

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 ...

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 ...

Nucleusteq

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field (or equivalent work experience) * 6+ years of experience working as a big data engineer (Required ...

NucleusTeq

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field (or equivalent work experience) * 6+ years of experience working as a big data engineer (Required ...

NucleusTeq

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field (or equivalent work experience) * 6+ years of experience working as a big data engineer (Required ...

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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

$242.8K

How much do data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineering in Gilbert, AZ is $164,532.00, 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.

What is data engineering?

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.

What does a data engineer do?

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 skills and qualifications are needed to thrive as a data engineer?

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.

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 need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $164,532 per year, or $79.1 per hour.

Data Engineering

Sarian, Inc.

Phoenix, AZ • On-site

Full-time

Re-posted yesterday

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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