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Data Engineers Jobs in Arizona (NOW HIRING)

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

All Visas Accepted ⚡ Quick Client Feedback | Interview Guaranteed for Qualified Candidates We are actively seeking experienced GCP Data Engineers for a long-term contract opportunity with a leading ...

Lead and mentor a team of data engineers, providing technical guidance and fostering professional development. Collaborate with cross-functional teams, including data scientists, business analysts ...

... Data Engineers / API Developers for enterprise-level projects. If you have strong expertise in PySpark, GCP, and scalable API development, we'd love to connect with you. Required Skills: PySpark ...

You will help lead a team of data engineers as you create interfaces, graph models, and data platforms that facilitate the flow, linkage, and contextualization of information across Citizens ...

You will lead a team of data engineers and partner with stakeholders to build scalable, event-driven streaming architectures that enable low-latency data access across Citizens business operations.

This role will partner with data engineers, security teams, and stakeholders to deliver scalable data and reporting solutions. The analyst will work on cybersecurity data sets (e.g., threat ...

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Data Engineers information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do data engineers jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data engineers 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 is the difference between Data Engineers vs Data Analysts?

AspectData EngineersData Analysts
Required CredentialsBachelor's in Computer Science, Engineering, or related field; often certifications in cloud platforms or data engineering toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentBuild and maintain data pipelines, work with big data technologies, often in cloud environmentsAnalyze data, create reports and dashboards, work with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerce; focus on data infrastructureMarketing, finance, retail, healthcare; focus on data insights for decision-making

Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to provide actionable insights. Both roles are essential but serve different functions within data teams.

What exactly does a data engineer do?

A data engineer designs, builds, and maintains the data pipelines and infrastructure that enable organizations to collect, store, and analyze large volumes of data. They work with tools like SQL, Python, and cloud platforms to develop scalable data systems and ensure data quality and security. Their role often involves collaboration with data scientists and analysts to support data-driven decision-making.
What cities in Arizona are hiring for Data Engineers jobs? Cities in Arizona with the most Data Engineers job openings:
Infographic showing various Data Engineers job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.

GCP Data Engineer

Perficientcorp Inc

Phoenix, AZ • On-site

$113K - $136K/yr

Contractor

Re-posted 21 days ago


Job description

| GCP Data Engineer | Phoenix, AZ | Contract Opportunity
Location: Phoenix, AZ (Onsite/Hybrid)
Duration: 12+ Months
Experience Required: 5–7+ Years
Visa: All Visas Accepted 
⚡ Quick Client Feedback | Interview Guaranteed for Qualified Candidates
We are actively seeking experienced GCP Data Engineers for a long-term contract opportunity with a leading client.
Required Skills:
✅ Google Cloud Platform (GCP)
GCS
DataProc
BigQuery
Composer / Airflow
✅ Strong experience with:
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 Skills:
➕ Spanner DB
➕ Graph Databases
➕ Scala
➕ Hive
➕ Pig
➕ MapReduce
⭐ Mandatory Requirement:
✔ Ex-American Express (Amex) Candidates Only
✔ Must provide complete Amex project/client details
We are accepting submissions only from candidates with prior American Express experience.