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Data Engineer C2C Jobs in Arizona (NOW HIRING)

TEKsystems

Jr-Mid Level GCP Data Engineer

Phoenix, AZ · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN PHOENIX, AZ Top Skills' Details 1. 3+ years of experience in Data Engineering including hands on experience ...

TEKsystems

Jr-Mid Level GCP Data Engineer

Phoenix, AZ · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN PHOENIX, AZ Top Skills' Details 1. 3+ years of experience in Data Engineering including hands on experience ...

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

Data Scientist

Phoenix, AZ

$80 - $85/hr

Senior Data Scientist / Forward Deployed Engineer (No Sponsorship Available/Cannot Support C2C) Locations: Phoenix, AZ Overview Join a newly formed, executive-sponsored AI Transformation team focused ...

TEKsystems

Data Scientist

Phoenix, AZ

$80 - $85/hr

Senior Data Scientist / Forward Deployed Engineer (No Sponsorship Available/Cannot Support C2C) Locations: Phoenix, AZ Overview Join a newly formed, executive-sponsored AI Transformation team focused ...

TEKsystems c/o Allegis Group

Data Scientist

Phoenix, AZ · On-site

$80 - $85/hr

Senior Data Scientist / Forward Deployed Engineer (No Sponsorship Available/Cannot Support C2C) Locations: Phoenix, AZ Overview Join a newly formed, executive-sponsored AI Transformation team focused ...

Mastech Digital

Datacenter Engineer

Phoenix, AZ · On-site

$44/hr

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:

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All JobsData Engineer C2C JobsData Engineer C2C Jobs in Arizona

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:

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

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

Data Engineer C2C jobs near you
Infographic showing various Data Engineer C2C job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Engineer - Phoenix, AZ, St. Louis, MO, Nashville, TN, Kansas City, KS, Denver, CO.

TechniPros, LLC

Phoenix, AZ • On-site

$113K - $136K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Engineer
Location: Phoenix, AZ, St. Louis, MO, Nashville, TN, Kansas  City, KS, Denver, CO.
Contact: 12+ Months
Looking for W2 candidates. No C2C

Job Summary

We are looking for a skilled Data Engineer to join our team in Houston, TX. The ideal candidate will have strong experience in PySpark, Microsoft Azure, Azure Data Factory (ADF), SQL, and Data Warehousing. This role focuses on designing scalable data pipelines, building enterprise ETL/ELT solutions, and delivering high-quality data integration across cloud-based platforms.

Key Responsibilities

·        Design, develop, and optimize scalable data pipelines.

·        Build, maintain, and enhance ETL/ELT workflows using Azure Data Factory (ADF).

·        Process, transform, and optimize large datasets using PySpark.

·        Develop efficient data integration solutions across multiple enterprise systems.

·        Create scalable and reliable cloud-based data engineering solutions on Microsoft Azure.

·        Optimize SQL queries, data warehouse performance, and data processing workflows.

·        Ensure data quality, reliability, consistency, and governance.

·        Troubleshoot production issues and optimize pipeline performance.

·        Collaborate with cross-functional teams including business analysts, data scientists, and application developers.

·        Support continuous improvements in data architecture and engineering best practices.

Required Skills

·        Strong experience in PySpark.

·        Hands-on experience with Microsoft Azure.

·        Expertise in Azure Data Factory (ADF).

·        Strong knowledge of ETL/ELT development.

·        Experience designing scalable data pipelines.

·        Strong SQL programming and database optimization skills.

·        Experience with Data Warehousing concepts and implementation.

·        Experience in data integration and performance tuning.

·        Knowledge of cloud-based data engineering best practice.

Preferred Skills

·        Experience with Azure Databricks.

·        Knowledge of Delta Lake, Spark SQL, and Azure Synapse Analytics.

·        Familiarity with CI/CD pipelines and DevOps practices.

·        Experience working in Agile/Scrum environments.

Best Regards:

Tanuja P
Phone:
Email:

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