GCP Data Engineer
nucleusteq
| Company | nucleusteq |
| Category | Engineering |
| Location | Phoenix |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 7 Aug 2026 |
| Last verified | 11 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
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