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Data Engineer C2C Jobs in Arizona (NOW HIRING)

Software Engineer

Phoenix, AZ · On-site

$38 - $41/hr

Data Engineer - Google Cloud Platform (Contingent Assignment) We are not accepting C2C or 1099 arrangements. Location: Phoenix, AZ Employment Type: Contingent / Contract Experience Level: Mid-Senior ...

Software Engineer

Phoenix, AZ · On-site

$49 - $53/hr

Software Engineer, AI-Powered Data Platforms (Google Cloud) We are not accepting C2C or 1099 arrangements. Location: Chandler, AZ; Charlotte, NC; Minneapolis, MN; Irving, TX (Hybrid) About the Role ...

Datacenter Engineer

Phoenix, AZ · On-site

$44/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Datacenter Engineer

Phoenix, AZ · On-site

$44/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Program Manager - MarTech

Phoenix, AZ · On-site

$115K - $115K/yr

Phoenix, AZ 85027 (Onsite) Employment Type: 5+ Month W2 Contract (No C2C or sponsorship available ... engineering, data, analytics, architecture, and business teams. Key Responsibilities * Lead ...

New

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

Software Engineer

Chandler, AZ · On-site

$49 - $53/hr

Software Engineer (Contingent Workforce) We are not accepting C2C or 1099 arrangements. Location ... Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy ...

New

ServiceNow Developer/Engineer

Chandler, AZ · On-site

$52.50 - $72.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

... 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 ...

ETL Developer

Glendale, AZ · On-site

$50.75 - $66.50/hr

This position will support the City's enterprise data warehouse modernization initiative by ... Visa sponsorship and C2C arrangements are not available. Position: ETL Developer Duration: 12 ...

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Data Engineer C2C information

What is a data engineer C2C?

A Data Engineer C2C (Corp-to-Corp) job refers to a contract position where a data engineer is hired through a third-party consulting firm or their own incorporated business. In this arrangement, the engineer provides services to a client company on a contractual basis, rather than being a direct employee. Data engineers in C2C roles focus on designing, building, and optimizing data pipelines, databases, and big data solutions. These roles often require expertise in SQL, Python, ETL tools, cloud platforms, and data modeling. C2C jobs are common in IT staffing, offering flexibility but requiring independent tax management and business structuring.

What does a data engineer C2C do?

As a Data Engineer C2C, your typical workday involves designing, building, and optimizing data pipelines, collaborating with data scientists and analysts, and ensuring data quality and integrity. Since C2C refers to a contract-based engagement, you may work on multiple short- or long-term projects with different clients, requiring adaptability and strong project management skills. You’ll often attend virtual meetings, troubleshoot data issues, and deliver solutions on tight timelines. The contract structure allows for diverse experience and the opportunity to expand your professional network, but it also means staying proactive about seeking new projects and continuously updating your technical skills.

What are the key skills and qualifications needed to thrive as a data engineer C2C?

To thrive as a Data Engineer C2C, you need strong skills in data modeling, ETL processes, database architecture, and proficiency in languages such as SQL, Python, or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud data services (e.g., AWS, Google Cloud, Azure), and certifications like AWS Certified Data Analytics are highly beneficial. Excellent problem-solving, teamwork, and communication skills set standout candidates apart, enabling effective cross-functional collaboration. These skills are crucial for designing reliable data pipelines, ensuring data quality, and supporting the decision-making needs of organizations in a contract-to-contract (C2C) work environment.

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 Data Engineer C2C jobs in Arizona? For Data Engineer C2C jobs in Arizona, the most frequently searched job titles are:
Infographic showing various Data Engineer C2C job openings in Arizona as of August 2026, with employment types broken down into 21% Full Time, and 79% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Software Engineer

Judge Group, Inc.

Phoenix, AZ • On-site

$38 - $41/hr

Other

Re-posted 12 days ago


Job description

Location: Phoenix, AZ Salary: $38.00 USD Hourly - $41.00 USD Hourly Description:
Data Engineer - Google Cloud Platform (Contingent Assignment)
We are not accepting C2C or 1099 arrangements.
Location: Phoenix, AZ
Employment Type: Contingent / Contract
Experience Level: Mid-Senior (5+ Years)
About the Role
As a Data Engineer, you will design, develop, and optimize scalable data platforms and streaming solutions that support enterprise analytics, machine learning, and business intelligence initiatives. You will work within a highly collaborative engineering environment to build cloud-native data solutions, modernize legacy platforms, and improve data processing reliability, performance, and governance.
You will contribute to the design and implementation of high-volume data pipelines, real-time streaming frameworks, and lakehouse architectures using Google Cloud technologies and open-source data engineering tools.
Responsibilities
  • Design, develop, and maintain scalable batch and real-time data pipelines using Spark, Kafka, and Flink.
  • Build and support cloud-native data platforms on Google Cloud Platform (Google Cloud Platform), including BigQuery, Cloud Storage, Dataproc, and Cloud Composer.
  • Develop and optimize data processing workflows using Python, PySpark, SQL, and related technologies.
  • Implement modern data lakehouse architectures leveraging technologies such as Iceberg, Delta Lake, and Parquet.
  • Collaborate with software engineers, architects, product teams, and business stakeholders to deliver reliable data solutions.
  • Perform data migration and modernization initiatives from on-premises environments to cloud-native platforms.
  • Improve data quality, governance, observability, and operational efficiency through automation and engineering best practices.
  • Support CI/CD deployment processes and infrastructure automation for data platforms.
  • Participate in code reviews, technical discussions, and continuous improvement initiatives.
  • Research and evaluate new technologies and recommend solutions for complex data engineering challenges.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • 5+ years of experience in Data Engineering or Software Engineering.
  • 5+ years of hands-on experience with Hadoop ecosystems and Google Cloud data solutions.
  • Experience building and supporting distributed data processing solutions using Apache Spark.
  • 2+ years of experience developing streaming data solutions using Kafka, Flink, and Spark Streaming.
  • 3+ years of experience designing and implementing data lakehouse architectures.
  • Experience with:
    • Python and PySpark
    • Apache Kafka
    • Apache Airflow
    • SQL
    • Google Cloud Storage
    • BigQuery
    • Dataproc
    • Cloud Composer
  • Experience working with NoSQL databases, including columnar, graph, document, and key-value databases.
  • Strong understanding of scalable distributed computing and data engineering best practices.
Preferred Qualifications
  • Google Cloud Professional Data Engineer certification or equivalent cloud certification (AWS Specialty Data Analytics or Azure Data Engineer).
  • Experience migrating large-scale data platforms from on-premises environments to Google Cloud.
  • Strong knowledge of Hadoop ecosystem technologies, including:
    • Hive
    • HDFS
    • Parquet
    • Apache Iceberg
    • Delta Lake
  • Deep understanding of data warehouse architecture, cloud data platforms, data orchestration, and pipeline optimization.
  • Experience designing highly scalable, modular, and governance-driven data frameworks.
  • Knowledge of Generative AI frameworks such as LangChain and LangGraph for agent-based data applications.
  • Experience with DevOps and CI/CD practices, including Git, Jenkins, Docker, and Kubernetes.
  • Familiarity with React and Node.js development for data-focused web applications.
What You'll Bring
  • Strong problem-solving and analytical skills.
  • Ability to work effectively in a fast-paced, highly collaborative environment.
  • Excellent communication and stakeholder management capabilities.
  • Passion for modern data architectures, cloud technologies, and continuous learning.

Work Location: Phoenix, Arizona (Hybrid/Onsite as required)
Assignment Type: Contingent Workforce Assignment
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Contact:
This job and many more are available through The Judge Group. Please apply with us today!