GCP Data Engineer
NucleusTeq — Data engineering and cloud
About the role
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
What the index says about this role
- First seen by JobLarper — Aug 8, 2026, 1 day ago. Still inside the window where applications get read by a human rather than a pile.
- No pay range in our index for this listing. Across 64 indexed Data Engineer roles in US that do publish one, the middle half sits between $186k and $278k, median $207k — JobLarper's read of the market, not a figure from NucleusTeq.
- What Data Engineer roles ask for — across 449 indexed openings: SQL (64%), Python (63%), Cloud (46%), REST/APIs (39%), ML (30%). This posting names SQL, Python, Cloud.
- NucleusTeq is hiring actively — 10 open roles indexed.
Derived from the 27,016 roles JobLarper indexes daily from official company boards — not from the job description above.
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