Jr-Mid Level GCP Data Engineer

Jr-Mid Level GCP DATA ENGINEER

W2 ONLY - Cannot do C2C or provide sponsorship

HYBRID IN PHOENIX, AZ

Top Skills' Details

1. 3+ years of experience in Data Engineering including hands on experience working with Hadoop and Google Cloud Data Solutions

2.

Experience with GCP Data Services:
Big Query, Cloud Storage, Data Proc, Cloud Composer. Experience migrating on prem to GCP

3. 2+ years of real time processing with Kafka, Flink, and Spark Streaming

4. 3+ Years of data lake experience with Python

Job Description

We are seeking a midlevel Data Engineer with hands‑on expertise in Hadoop, PySpark, Python, and real‑time streaming technologies such as Kafka. This role supports a large‑scale migration of on‑prem 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 hard‑core developer who can independently convert requirements into scalable technical designs, perform integration and production deployments, and follow enterprise change‑management and access‑management 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 Spark‑based processing pipelines in Hadoop using PySpark and Python

Develop and maintain real‑time streaming pipelines using Kafka

Design and implement data flows using Spark Streaming and Flink

Migrate data and workloads from on‑prem 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 access‑management 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 Phoenix, 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 Phoenix,AZ.

Final date to receive applications

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.

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