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# GCP Data Engineer

- **Company:** NucleusTeq Inc.
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Big Data, BigQuery, Cloud Computing, MapReduce, Apache Hive, Python (Programming Language), NoSQL, Cloudera, Scala (Programming Language), SQL Databases, Data Processing, Scripting, Google Cloud, Apache Spark, Pyspark, Information Technology
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/gcp-data-engineer-phoenix-az--3e465cc5-7de8-4f1f-adef-89deb2929556

## About the Role

GCP (Good Clinical Practices), GCP (Good Clinical Practices), Cloud Computing, Big Data, Python Programming/Scripting Language, Data Processing, NoSQL, SQL Databases, Computer Science, Mathematics, * 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, * 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