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Local Only :: Need Google Cloud Platform Data Engineer at Phoenix, AZ

SVARA SOFTWARE SOLUTIONS INCPhoenix, AZ🇺🇸United StatesPosted 24 Jul 2026

Why This Role Stands Out

Advance your career as a Google Cloud Platform Data Engineer in Phoenix, leveraging your expertise in BigQuery and PySpark to drive impactful data solutions. This role is ideal for mid-senior level professionals with a strong background in big data engineering and a passion for building large-scale platforms. Apply now to join a dynamic team and contribute to exciting projects.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Role – Google Cloud Platform Data Engineer
Location – Phoenix, AZ - Onsite - Local Only
Long Term Contract  
In-Person Interview

Skills: 
•    Years of experience :  5-7 years
•    Google Cloud Platform Cloud : GCS, DataProc, BigQuery, Composer/Airflow
•    Big Data: PySpark
•    Spark, Python, Google Cloud Platform is must have 
•    Strong experience with Spark , Data Frames
•    Big Query background with data processing for large volumes  
•    Another NO Sql DB is big plus - Spanner DB & Graph DB 

Qualifications: 
•    Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field (or equivalent work experience)
•    6+ years of experience working as a big data engineer (Required) must be able to articulate use cases supported and outcomes driven. 
•    knowledge of the following (expectation is to demonstrate these skills live during the interview): PySpark, Spark, Python, Scala, Hive, Pig, and MapReduce. 
•    Experience in Google Cloud Platform.  
•    Experience in SQL. 
•    Large scale data engineering and business intelligence delivery experience
•    Design of large-scale enterprise level big data platforms
•    Experience working with and performing analysis using large data sets 
•    Proven and Demonstrated experience working with or on a mature, self-organized agile team

Skills

SQL
Scala
Agile
Airflow
BigQuery
Google Cloud
Hive
Phoenix
Pig
Python

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