Junior-Mid Level GCP Data Engineer

TEKsystems; Chandler (AZ); Hybrid; USD 52,000 - 55,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) Retirement Plan

Life Insurance

Disability

Health Spending Account

Transportation benefits

Employee Assistance Program

Time Off/Leave

Job summary

TEKsystems is seeking a Jr- to Mid-level GCP Data Engineer in Chandler, AZ, on a hybrid basis. The project focuses on migrating on-prem data workloads to GCP and building scalable pipelines using Hadoop, PySpark, Python, and Spark Streaming.

The role requires hands-on experience with BigQuery, Cloud Storage, Data Proc, and Cloud Composer, plus real-time processing with Kafka, Flink, and Spark Streaming. Contract position with competitive hourly pay.

Qualifications

• 3+ years of data engineering experience with Hadoop and GCP data solutions.
• Experience with BigQuery, Cloud Storage, Data Proc and Cloud Composer.
• 2+ years real-time processing with Kafka, Flink and Spark Streaming.
• 3+ years of data lake experience with Python.

Responsibilities

• 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 BigQuery, 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 changemanagement and accessmanagement processes
• Support a newly forming GCP data platform environment while maintaining the existing Hadoop environment

Skills

Data engineering

Hadoop

GCP data solutions

BigQuery

Cloud Storage

DataProc

Cloud Composer

Kafka

Flink

Spark Streaming

Python

PySpark

On-prem migration

Tools

Hadoop

Job description

Jr-Mid Level GCP DATA ENGINEER

W2 ONLY - Cannot do C2C or provide sponsorship

HYBRID IN Chandler, AZ

Top Skills

• 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

Job Description

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 largescale 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 changemanagement 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 BigQuery, 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 changemanagement and accessmanagement processes
• Support a newly forming GCP data platform environment while maintaining the existing Hadoop environment

Job Type & Location

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

Pay and Benefits

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)

Workplace Type

This is a hybrid position in Chandler, AZ.

Application Deadline

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

About TEKsystems

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.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands- on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

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

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI)

We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.