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Data Engineer C2C Jobs in Arizona (NOW HIRING)

Lead Data engineer

Chandler, AZ · On-site

$116K - $140K/yr

Lead Data Engineer Location: Chandler.,AZ Work Schedule: Hybrid Duration: 6 months Top Skills: * Ab ... NO C2C or 1099. Role Overview Role & Team * Role will be working with the enterprise information ...

Big Data Engineer

Phoenix, AZ · On-site

$50 - $60/hr

Client / Impetus Pay Rate: $50 to $60 Max depends on experience on c2c No. of position: 2 Any Visa ... Big Data Exp. * Current Location * Open for Travel * Open for Relocation( Location preference)

Entry Level Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Preferred SKILLS For Java /Full stack/Devops Positions Associate or Bachelors degree or Masters ... No third party or agency candidates or c2c candidates Embrace Your Future! We also assist with F1 ...

Software Engineer

Chandler, AZ · On-site

$69 - $74/hr

Data Engineer / Application Developer We are not accepting C2C or 1099 arrangements. Location: Chandler, AZ; Phoenix, AZ; Irving, TX (Las Colinas) Employment Type: Contract About the Role We are ...

Data Architect

Tempe, AZ · On-site

$62 - $79.75/hr

... No C2C or sponsorship available) About the Role Talent Groups is seeking an experienced Data ... You will partner with teams across data engineering, governance, analytics, and business operations ...

Snowflake Developer

Tempe, AZ · On-site

$60 - $70/hr

Northern Trust Rate: $60 to $70 hr on c2c Must Have Skills/Attributes: API, AWS, Azure, GIT, Python ... Minimum 4+ years of experience in data engineering or related roles * Proven track record of ...

Datacenter Engineer

Phoenix, AZ · On-site

$36 - $44/hr

Data Center Operations Role Description: The Datacenter Engineer must have 2+ years of experience ... Must be able to work on a W2 basis (No C2C) Recruiter Name: Gaurav Bhadana Recruiter Phone:

Data Architect

Phoenix, AZ · On-site

$50 - $60/hr

... C2C (All inclusive) Role Descriptions: • Designing and migrating analytics and operational data workloads to Cloud , GCP/ Azure preferred • Research, design, and engineering of business and ...

SAP HANA Engineer

Chandler, AZ · On-site

$62.25 - $81.75/hr

BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING ... Support data tiering using HANA Native Storage Extension and dynamic tiering where appropriate.

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Data Engineer C2C information

What is a Data Engineer C2C job?

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 typical workday look like for a Data Engineer C2C, and how does the contract-to-contract structure affect day-to-day responsibilities?

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 in the Data Engineer C2C position, and why are they important?

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:
Infographic showing various Data Engineer C2C job openings in Arizona as of June 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 60% In-person, and 40% Hybrid job distribution.
Lead Data engineer

$116K - $140K/yr

Other

Posted 6 days ago


Job description

Strategic Staffing Solutions is currently looking for a lead Data Engineer,for a W2 contract opportunity!

Lead Data Engineer

Location: Chandler.,AZ
Work Schedule: Hybrid

Duration: 6 months


Top Skills:


  1. Ab Initio
  2. Spark
  3. Google Cloud Platform

This is a W-2 contract opportunity, and candidates must be able to work on our W-2 only. NO C2C or 1099.

Role Overview

Role & Team


  • Role will be working with the enterprise information warehouse. They are looking for a specialized ETL backend developer to help with additional work they've taken on related to the migration to Google Cloud Platform
  • Part of the Data & Insights team, they build data platforms to deliver strategic information and insights to the business
  • The role will be analyzing new development requests, designing and developing new ETL processes, testing, and putting them into production.

In this role, you will:


  • Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
  • Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting
  • Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
  • Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis
  • Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
  • Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals.

Required Qualifications:


  • 6+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 6+ years of strong experience with Ab Initio, Spark Core, Spark SQL, Data Frames, Datasets
  • 3+ Experience on Python or other scripting languages
  • Hands-on experience with Google Cloud Platform or other cloud platforms (AWS/Azure)
  • 3+ years of data warehouse experience, SQL experience (Teradata, SQL, PL/SQL). Understand and write the complex SQL queries and have in-depth understanding of oracle database
  • Strong experience with Teradata, Hadoop, Hive, Autosys, Airflow, BigQuery SparkFlow
  • Good understanding of distributed system and parallel processing, spark architecture in depth
  • Ability to conduct code reviews with focus on testability and code coverage.
  • Should have executed end to end projects in data engineering
  • Should have experience working in an Agile environment using Scrum.
  • Fluent in communication

Desired Qualifications:


  • Prior experience of leading the teams and running the major programs is needed.
  • Good knowledge of non-relational DBMS platforms, (MongoDBj), real-time data streaming via Kafka
  • Working knowledge in developing end to end ML/AI pipeline in Apache Spark, Sparkling Waters, H2O, experience in working on LLMs. Exposer to Agentic AI frameworks.
  • Ability to work with Data Engineers in discovering and optimizing bottlenecks in the AI/ML pipeline for real-time or near-real-time applications that consumes large throughput of data
  • Perform various complex activities related to statistical/machine learning. Provide analytical support for developing, evaluating, implementing, monitoring and executing models across business verticals using emerging technologies including but not limited to Python, Agentic AI frameworks like ADK, Google Cloud Platform vertex AI and NLP.
  • Proficient in large scala data processing, Hands-on experience with different file formats, very good understanding of Unix command & Shell scripting.
  • Familiarity with CI/CD pipelines, infrastructure as code and cloud deployment best practices

Beware of scams. S3 never asks for money during its onboarding process.