Data Engineering with Google Cloud Platform-Own our W2

Overview

On Site
USD 50-50
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Big Query
Google Cloud Platform
Spark
Airflow
ETL

Job Details

Role - Data Engineering with Google Cloud Platform On our W2

Number of Openings 1 Opening

Location - Onsite Phoenix (PHX)

Rate - $50/hr on W2

Note:

If we have two strong profiles with slightly higher rates, will share them as well. I'll check with the client for consideration. However, try to stay within the mentioned rate. This is the JD received from the lead owner. Ex-OnX candidates can be submitted, but please ensure to mention the reason for leaving OnX.

We need to share the resumes by the eod on Thursday, 10/16/2025.

Must have 5-8 years of Data Engineering experience in a Google Cloud Platform Big Data environment:

  • Strong experience working in Google Cloud Platform
  • Strong Data transformation/ETL skills using Spark, Python, PySpark, HiveQL
  • Must have hands on experience building data ingestion pipelines from Oracle Recruitment Cloud to a Big Data Environment cloud or on-prem
  • Must have strong hands-on experience on data processing tasks using Spark/Python for cleansing and curating to populate analytical models
  • Familiarity with data models and business processes in Recruitment & Learning modules of Oracle Fusion Cloud
  • Data Savvy with strong analytical skills
  • Capable of independently delivering work items and leading data discussions with Tech Leads, Architects, and Implementation Partners
  • Prefer experience with CI/CD tools and code management processes
  • Having prior experience on transition from Taleo to Oracle Fusion Cloud nice to have


Must have solid hand on SKILL experience with:

  • Google Cloud Platform
    • Big Query,
    • Airflow,
    • GCS,
    • Python,
    • Spark,
    • DataProc,
    • Data transformation/ETL skills,
    • Oracle Fusion (Recruitment or Learn)


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.