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Permanent 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 ...

Collabera

Big Data Developer

Phoenix, AZ · On-site

$52.50 - $68.25/hr

... Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera ... Skill: HIVE, PIG, Ozzy, Fully hands on Big Data developer Duration:1 year Qualifications Skill:

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 ...

campus4tech

ServiceNow Developer/Engineer

Chandler, AZ · On-site

$52.50 - $72.25/hr

... Permanent Reporting Type- Onsite Benefits- DENTAL INSURANCE/ MEDICAL INSURANCE/ VISION INSURANCE ... W2 candidates only, no C2C or Third Party Vendors* *Candidate should not require sponsorship in ...

Sonsoft Inc

Big Data

Phoenix, AZ · On-site

$52.50 - $68.25/hr

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... This is a Full-Time & Permanent job opportunity for you. 2.Only US Citizen, Green Card Holder, GC ...

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$53 - $57/hr

NET Developer We are not accepting C2C or 1099 arrangements. Location: Phoenix, AZ (2222 W. Rose ... Develop and optimize SQL database solutions and data access components. * Support vulnerability ...

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:

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: (484) 331 ...

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Permanent Data Engineer C2C information

What is a permanent data engineer C2C?

Permanent Data Engineer C2C jobs refer to full-time data engineering positions where the hiring arrangement is on a 'Corp-to-Corp' (C2C) basis. In C2C contracts, a candidate works as an employee of a consulting or staffing company, which then contracts their services out to a client company. As a Permanent Data Engineer, you would be responsible for designing, building, and maintaining data systems, pipelines, and databases to support organizational data needs on a long-term basis. This setup allows for both the stability of a permanent role and the flexibility of a consulting arrangement.

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

To thrive as a Permanent Data Engineer (C2C), you need strong expertise in data modeling, ETL processes, SQL, and programming languages like 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 technologies (AWS, Azure, or GCP), and relevant certifications such as AWS Certified Data Analytics are highly valued. Excellent problem-solving, collaboration, and communication skills help you work efficiently with cross-functional teams and translate data requirements into actionable solutions. These skills and qualifications ensure the development, optimization, and maintenance of data pipelines that support robust business decision-making.

What challenges might a permanent data engineer C2C face when working with different client teams?

As a Permanent Data Engineer working C2C (Corp-to-Corp), you may encounter challenges like adapting quickly to various clients' tech stacks and data infrastructures. Communication can be complex, as you'll often collaborate with cross-functional teams who may have differing priorities or familiarity with data engineering concepts. Ensuring data quality and consistency across disparate systems is another common hurdle. Staying organized and proactive in documenting your work will help you succeed in these dynamic environments.

What is the difference between Permanent Data Engineer C2C vs Contract Data Engineer?

AspectPermanent Data Engineer C2CContract Data Engineer
Employment TypeFull-time, permanent employment with benefitsTemporary, project-based engagement without benefits
Work EnvironmentTypically in-house or long-term remoteOn-site or short-term remote, often at client sites
Credentials & CertificationsOften requires relevant certifications (e.g., AWS, Azure)Similar certifications may be preferred but not always mandatory
Industry UsageCommon in large organizations with ongoing data needsFrequent in consulting or project-specific roles

In summary, Permanent Data Engineer C2C roles offer stability and benefits, while Contract Data Engineer positions provide flexibility for short-term projects. Your choice depends on your career goals and preferred 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 Permanent Data Engineer C2C jobs in Arizona?

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

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

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

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

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

Permanent Data Engineer C2C jobs near you

Data Engineer | NO C2C

Inabia Software & Consulting Inc.

Phoenix, AZ • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

ROLE OVERVIEW
The client is seeking an experienced Data Engineer with strong expertise across data engineering, databases, cloud platforms, and application architecture. The ideal candidate has hands-on experience building scalable data pipelines and platforms, strong SQL and data modeling skills, working Python knowledge, and exposure to AI/ML and Generative AI technologies. This person will work closely with application architects, database architects, cloud engineers, data scientists, and application development teams to design and implement reliable, scalable, secure, high-performance data solutions.
 
KEY RESPONSIBILITIES
• Design and define enterprise-level database architectures, standards, patterns, and best practices
• Evaluate and select relational, NoSQL, and cloud-native database technologies based on business/technical needs
• Design scalable database solutions covering data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery
• Provide expertise across platforms such as PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or similar
• Design and support database solutions on AWS, Azure, or Google Cloud Platform
• Lead or support on-premises-to-cloud database migrations and modernization initiatives
• Optimize database performance through query tuning, indexing, partitioning, and capacity planning
• Establish database security standards: encryption, access controls, auditing, data protection, compliance
• Use Python for database automation, scripting, data processing, validation, and operational tasks
• Work with AI/ML and GenAI teams; provide architectural guidance on embeddings, vector databases/search, and RAG patterns
• Create and maintain architecture diagrams, database standards, and technical documentation
• Provide technical leadership, architecture reviews, troubleshooting support, and mentoring
 
REQUIREMENTS / MUST-HAVES
• Strong experience in database architecture, engineering, or administration
• Deep understanding of relational database concepts: SQL, data modeling, normalization, indexing, transactions, performance optimization
• Experience with one or more major database platforms (PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, or equivalent)
• Hands-on experience with AWS, Azure, or Google Cloud Platform, particularly managed database services
• Understanding of cloud architecture: scalability, high availability, security, monitoring, backup, disaster recovery
• Experience with database migration and modernization initiatives

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