SRM Digital LLC
GCP Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer in Phoenix, AZ, lasting 12+ months, with a pay rate of "unknown." Requires 5-7 years of experience in GCP, PySpark, Spark, and SQL, along with a degree in a related field.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 12, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#Data Engineering #PySpark #BI (Business Intelligence) #Computer Science #Mathematics #BigQuery #Scala #Spark (Apache Spark) #Airflow #SQL (Structured Query Language) #Data Processing #GCP (Google Cloud Platform) #Agile #Big Data #Cloud #Pig #Python
Role description
Role: GCP Data Engineer
Location: Phoenix, AZ
Duration: 12+ Months
Mode: In-Person Interview
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
Role: GCP Data Engineer
Location: Phoenix, AZ
Duration: 12+ Months
Mode: In-Person Interview
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
