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Freelance Data Engineer C2C Jobs in Arizona (NOW HIRING)

Judge Group, Inc.

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 ...

Judge Group, Inc.

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 ...

TEKsystems

Mechanical Data Center Design Engineer

Chandler, AZ

$60.53/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

NO C2C. W2 ONLY. MUST WORK ONSITE 3 DAYS A WEEK IN CHANDLER, AZ. TEKsystems is currently looking for a Data Center Infrastructure Design Engineer to support the design, optimization, expansion, and ...

Posted today

TEKsystems

Mechanical Data Center Design Engineer

Chandler, AZ

$60.53/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

NO C2C. W2 ONLY. MUST WORK ONSITE 3 DAYS A WEEK IN CHANDLER, AZ. TEKsystems is currently looking for a Data Center Infrastructure Design Engineer to support the design, optimization, expansion, and ...

Posted today

Mastech Digital

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:

Mastech Digital

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 ...

Accord Technologies Inc.

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 ...

Talent Groups

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 ...

21Tech

Power BI Developer

Glendale, AZ · On-site

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

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Freelance Data Engineer C2C information

What is a freelance data engineer C2C?

A Freelance Data Engineer C2C (Corp-to-Corp) is a data engineering professional who works independently or through their own registered business entity, providing data engineering services to clients on a contract basis. The C2C arrangement means the contract is between the client's corporation and the freelancer's corporation, rather than as a direct employee or as an individual contractor (1099). Freelance data engineers typically design, build, and maintain data pipelines and infrastructure, working with large datasets to support business needs. This setup allows for more flexible, project-based work and can offer tax advantages for both the freelancer and the client.

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

To thrive as a Freelance Data Engineer C2C, you need expertise in data modeling, ETL processes, SQL, and proficiency in at least one programming language like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop or Spark), and relevant certifications (such as AWS Certified Data Analytics) is typically required. Strong problem-solving skills, effective communication, and the ability to manage projects independently distinguish top freelance professionals. These capabilities ensure you can deliver scalable, reliable data solutions tailored to diverse client needs in a dynamic contract environment.

What are some common challenges faced by freelance data engineers working on a C2C basis, and how can they be managed?

Freelance Data Engineers working on a Corp-to-Corp (C2C) basis often face challenges such as quickly adapting to different clients' data infrastructures, managing multiple projects simultaneously, and ensuring clear communication with remote or distributed teams. Navigating varied tech stacks and client-specific security protocols can also be demanding. To manage these challenges, it's important to establish thorough onboarding processes, maintain organized project management practices, and set clear expectations with clients regarding deliverables and timelines.

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

AspectFreelance Data Engineer C2CFreelance Data Analyst C2C
Required CredentialsTypically requires data engineering certifications, SQL, Python, cloud platform knowledgeOften requires data analysis certifications, SQL, Excel, visualization tools
Work EnvironmentFocus on building data pipelines, ETL processes, data architectureFocus on interpreting data, creating reports, dashboards
Employer & Industry UsageUsed in tech, finance, healthcare for infrastructure projectsUsed across marketing, retail, consulting for insights and reporting

Freelance Data Engineer C2C professionals primarily develop data infrastructure, while Freelance Data Analysts focus on interpreting data and creating reports. Both roles require SQL and related skills but differ in their core responsibilities and industry applications.

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 Freelance Data Engineer C2C jobs in Arizona?

For Freelance Data Engineer C2C jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Freelance Data Engineer C2C jobs in Arizona look for?

The top searched job categories for Freelance Data Engineer C2C jobs in Arizona are:

What cities in Arizona are hiring for Freelance Data Engineer C2C jobs?

Cities in Arizona with the most Freelance Data Engineer C2C job openings:

Freelance Data Engineer C2C jobs near you
Infographic showing various Freelance Data Engineer C2C job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Software Engineer

Judge Group, Inc.

Phoenix, AZ • On-site

$38 - $41/hr

Other

Re-posted 18 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
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!

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