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Temporary 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 ...

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 ...

-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 ...

Data Center Design Engineer Chandler, AZ Hybrid (3 Days in 2 Days remote) 12-24 Month Contract ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Data Center Design Engineer Chandler, AZ Hybrid (3 Days in 2 Days remote) 12-24 Month Contract ... 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:

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 ...

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 ...

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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:

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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:

Data Engineer -- Database, Cloud & Application Architecture || NO C2C

Inabia Software & Consulting Inc.

Phoenix, AZ • On-site

Contractor

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


Job description

  • Job Title: Data Engineer — Database, Cloud & Application Architecture
  • Client: Confidential end client
  • Duration: Long Term 
  • Location: Phoenix, AZ — Day 1 onsite (fully onsite, no hybrid/remote)
  • Rate: TBD — confirm with account team before submitting
  • NO C2C

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 GCP
• 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 GCP, 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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