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GCP Data Engineer

NucleusTeq · IT Consulting & Digital Transformation · AI Consulting & Integration · Bachelor's Degree · Python · SQL · Scala · 2 months ago

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Salary

≈ $105k – $198k per year (Estimated)

Location

In office (Phoenix)

Seniority

Senior · 6+ years exp

Visa

H-1B filings in 12 months: 6 · for this role: 1 · green card filings: 2

Employment

Contractor

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Aug 7, 2026. NucleusTeq scores B on the Alion truth index.

Overview

Company

Impact

Profile match

NucleusTeq

NucleusTeq powers industry transformation with AI and data solutions, enhancing decision-making, efficiency, and innovation across sectors like banking, retail, and insurance.

nucleusteq.com · HQ: Phoenix, United States · IT Consulting & Digital Transformation · AI Consulting & Integration · 51-200 employees · Est. 2018

Tech stack of NucleusTeq

Role - GCP Data Engineer

Location - Phoenix, AZ

Duration: 12+ Months

Skills:

Years of experience : 5-7 years
GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow
Big Data: PySpark
Spark, Python, GCP 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 GCP.
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

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