Junior-Mid Level GCP Data Engineer

Jr-Mid Level GCP DATA ENGINEER

W2 ONLY
- Cannot do C2C or provide sponsorship

HYBRID IN Chandler, AZ

• 3+ years of experience in Data Engineering including hands on experience working with Hadoop and Google Cloud Data Solutions
• Experience with GCP Data Services:
  Big Query, Cloud Storage, Data Proc, Cloud Composer. Experience migrating on prem to GCP
• 2+ years of real time processing with Kafka, Flink, and Spark Streaming
• 3+ Years of data lake experience with Python

We are seeking a midlevel Data Engineer with handson expertise in Hadoop, PySpark, Python, and realtime streaming technologies such as Kafka. This role supports a large scale migration of onprem data and processing workloads into Google Cloud Platform (GCP). The candidate will be responsible for designing, developing, and deploying data pipelines across both Hadoop and GCP environments in a highly collaborative team setting.

The ideal individual is a hardcore developer who can independently convert requirements into scalable technical designs, perform integration and production deployments, and follow enterprise change management and accessmanagement procedures. The team has an established Hadoop platform and is actively standing up a new GCP platform, making this a critical role for data movement, orchestration, and modernization.

• Build and support Sparkbased processing pipelines in Hadoop using PySpark and Python
• Develop and maintain realtime streaming pipelines using Kafka
• Design and implement data flows using Spark Streaming and Flink
• Migrate data and workloads from onprem Hadoop to GCP
• Work extensively with Big Query, Cloud Composer, Data Proc, and GCP Cloud Storage
• Translate business and technical requirements into architecture, design, and deployment deliverables
• Conduct integration testing, production deployments, and pipeline optimization
• Work closely with internal teams, architects, and stakeholders to support platform enablement
• Follow enterprise change management and accessmanagement processes
• Support a newly forming GCP data platform environment while maintaining the existing Hadoop environment

This is a Contract position based out of Chandler, AZ.

The pay range for this position is $38.00 - $40.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms.

If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan
  - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

This is a hybrid position in Chandler, AZ.

This position is anticipated to close on Sep 8, 2026.

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change.

That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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