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Temporary Data Engineer C2C Jobs in Arizona (NOW HIRING)

Software Engineer

Phoenix, AZ · On-site

$52 - $57/hr

Senior Data Engineer, AI & Data Platforms (Google Cloud) We are not accepting C2C or 1099 arrangements. Location: Preferred: Chandler, AZ | Charlotte, NC | Minneapolis, MN | Irving (Las Colinas), TX ...

Software Engineer 4

Chandler, AZ · On-site

$69 - $74/hr

Lead Cloud Data Platform Engineer (AI & Data Engineering) We are not accepting C2C or 1099 arrangements. Location: Chandler, AZ; Charlotte, NC; Minneapolis, MN; Irving (Las Colinas), TX Employment ...

Temporary Assignment Description: Summary: We are seeking an experienced and highly skilled Software Engineering Lead to spearhead our data initiatives, with a primary focus on Azure Data Lake and ...

Data Center Infrastructure Engineer We are seeking an experienced Data Center Infrastructure ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Data Center Infrastructure Engineer We are seeking an experienced Data Center Infrastructure ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

-We are seeking experienced Data Center Infrastructure Design Engineers to support the design ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

-We are seeking experienced Data Center Infrastructure Design Engineers to support the design ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Your Role: - Monitor data center operations and check for emergent alerts through monitoring ... Must be able to work on a W2 basis (No C2C) Recruiter Name: Aakash Gupta Recruiter Phone: Benefits:

FEA Engineer

Tucson, AZ · On-site

$55.50 - $76/hr

C2C Must have: FEA Eng, Abaqus, Static Linear, Automotive/Construction/Mining Industry experience ... Correlation of Test Data with FEA Results Candidate Responsibilities * Support virtual product ...

Your Role: - Monitor data center operations and check for emergent alerts through monitoring ... Must be able to work on a W2 basis (No C2C) Recruiter Name: Aakash Gupta Recruiter Phone: (484) 331 ...

Visa sponsorship and C2C arrangements are not available. Position: Power BI Developer Duration: 12 ... Responsibilities: • Develop dashboards • Build enterprise reports • Create data models • ...

... C2C) We are hiring an experienced Ab Initio Developer. We are looking for a local Phoenix, AZ ... Experience developing and supporting ETL/Data Integration solutions * Good understanding of data ...

ServiceNow Developer/Engineer

Chandler, AZ · On-site

$52.50 - $72.25/hr

W2 candidates only, no C2C or Third Party Vendors* *Candidate should not require sponsorship in ... In this role, you will design, configure, and enhance CMDB-related solutions that improve data ...

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Temporary Data Engineer C2C information

What is the difference between Temporary Data Engineer C2C vs Temporary Data Analyst C2C?

AspectTemporary Data Engineer C2CTemporary Data Analyst C2C
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights projects
Employer & Industry UsageTech companies, data-driven organizationsFinance, marketing, retail sectors
Common Search & Comparison IntentUnderstanding technical roles, infrastructure focusFocus on data insights, reporting tasks

Temporary Data Engineer C2C roles typically involve building and maintaining data pipelines and infrastructure, requiring technical certifications and a focus on data engineering tasks. In contrast, Temporary Data Analyst C2C positions emphasize analyzing data to generate reports and insights, often requiring statistical and analytical skills. Both roles are contract-based and used across various industries, but they serve different functions within data teams.

What are the most commonly searched types of Data Engineer C2C jobs in Arizona? The most popular types of Data Engineer C2C jobs in Arizona are:
What are popular job titles related to Temporary Data Engineer C2C jobs in Arizona? For Temporary Data Engineer C2C jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Temporary Data Engineer C2C jobs in Arizona look for? The top searched job categories for Temporary Data Engineer C2C jobs in Arizona are:
What cities in Arizona are hiring for Temporary Data Engineer C2C jobs? Cities in Arizona with the most Temporary Data Engineer C2C job openings:

Software Engineer

Judge Group, Inc.

Phoenix, AZ • On-site

$52 - $57/hr

Other

Re-posted 8 days ago


Job description

Location: Phoenix, AZ Salary: $52.00 USD Hourly - $57.00 USD Hourly Description:
Senior Data Engineer, AI & Data Platforms (Google Cloud)
We are not accepting C2C or 1099 arrangements.
Location: Preferred: Chandler, AZ | Charlotte, NC | Minneapolis, MN | Irving (Las Colinas), TX
Employment Type: Contingent/Contract
About the Role
We are seeking a highly skilled Senior Data Engineer with expertise in Google Cloud Platform (Google Cloud Platform) and emerging AI/Agentic technologies to build and scale next-generation data platforms. In this role, you will design and operationalize AI-enabled data solutions that support large-scale analytics, data governance, and intelligent data consumption across the enterprise.
You will partner with principal engineers, product managers, architects, and data engineering teams in a matrixed environment to deliver innovative, cloud-native data capabilities that drive business value.
What You'll Do
  • Design, implement, and support modern AI-enabled data platforms on Google Cloud.
  • Build scalable data ingestion, transformation, and distribution frameworks for large-scale analytics and data applications.
  • Develop and operationalize cloud-native data pipelines using Spark, Kafka, Flink, and related technologies.
  • Leverage AI and agentic frameworks to automate data management, governance, quality, metadata, lineage, and compliance processes.
  • Create intelligent data capabilities utilizing Retrieval-Augmented Generation (RAG), GraphRAG, and agent-based architectures.
  • Collaborate with cross-functional stakeholders to define technical roadmaps and deliver prioritized data solutions.
  • Improve platform reliability, performance, scalability, and observability across data ecosystems.
  • Support data lakehouse architecture initiatives and enterprise data modernization efforts.
  • Apply engineering best practices for security, governance, and regulatory compliance.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • 5+ years of experience in Data Engineering with hands-on development and support of cloud-based data platforms.
  • 5-6 years of experience working with Google Cloud Platform (Google Cloud Platform).
  • Experience building and supporting data ingestion and processing pipelines using Apache Spark and PySpark.
  • 3+ years of experience designing and implementing Data Lakehouse architectures.
  • Proficiency in:
    • Python
    • PySpark
    • Kafka
    • Apache Airflow
    • Google Cloud Storage (GCS)
    • BigQuery
    • Dataproc
    • Cloud Composer
  • Experience developing real-time and streaming data solutions using:
    • Kafka
    • Apache Flink
    • Spark Streaming
  • Recent hands-on experience with AI-enabled development frameworks and tools.
Preferred Qualifications
  • 6-12 months of practical experience with modern AI and Agentic AI technologies.
  • Experience building intelligent data solutions using:
    • LangChain
    • LangGraph
    • Agent Development Kit (ADK)
    • Agentic Frameworks
    • Retrieval-Augmented Generation (RAG)
    • GraphRAG
    • Model Context Protocol (MCP)
  • Knowledge of data governance, data quality, metadata management, and compliance automation.
  • Strong problem-solving skills and ability to work within complex, enterprise-scale environments.
  • Experience collaborating across engineering, product, and architecture teams.
Key Technologies
Cloud: Google Cloud Platform (Google Cloud Platform), BigQuery, Dataproc, Cloud Composer, Google Cloud Storage
Data Engineering: Python, PySpark, Apache Spark, Kafka, Flink, Airflow, Data Lakehouse
AI & Agentic Technologies: LangChain, LangGraph, ADK, RAG, GraphRAG, MCP, Agent-Based Architectures
Must-Have Skills Summary
  • 5-6 years of Google Cloud Platform (Google Cloud Platform) experience
  • 5+ years of Data Engineering experience
  • Data Lakehouse architecture and implementation
  • Python, PySpark, Spark, Kafka, Airflow
  • BigQuery, Dataproc, Cloud Composer, Cloud Storage
  • Kafka, Flink, and Spark Streaming
  • Hands-on exposure to AI/Agentic frameworks (LangChain, LangGraph, RAG, GraphRAG, MCP)

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This job and many more are available through The Judge Group. Please apply with us today!