

VMC Soft Technologies, Inc
GCP Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer in Phoenix, AZ (Onsite/Hybrid) for a contract length of unspecified duration, offering competitive pay. Requires 6+ years of experience, strong GCP skills, and expertise in ETL/ELT, BigQuery, and Python.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
July 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
-
🧠 - Skills detailed
#Apache Beam #Data Pipeline #GIT #Version Control #Airflow #Apache Spark #GCP (Google Cloud Platform) #Programming #Dataflow #Data Processing #Big Data #Data Engineering #Spark (Apache Spark) #Python #BigQuery #SQL (Structured Query Language) #Apache Airflow #Storage #PySpark #Scala #Cloud #"ETL (Extract #Transform #Load)" #BI (Business Intelligence)
Role description
Job Title: GCP Data Engineer
Location: Phoenix, AZ (Onsite/Hybrid)
Job Summary
We are seeking an experienced GCP Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions on the Google Cloud Platform (GCP). The ideal candidate will have expertise in big data technologies, ETL/ELT development, data warehousing, and cloud-native services to support enterprise analytics and business intelligence initiatives.
Required Skills
• 6+ years of experience as a Data Engineer or Big Data Engineer.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expertise in BigQuery, Cloud Storage (GCS), Cloud Composer (Airflow), Dataflow, Dataproc, Pub/Sub, Cloud Functions, Cloud Run, and Cloud Build.
• Strong programming skills in Python, SQL, and PySpark.
• Experience building scalable ETL/ELT pipelines.
• Knowledge of Apache Spark, Apache Beam, and distributed data processing.
• Experience with workflow orchestration using Apache Airflow/Cloud Composer.
• Hands-on experience with Git, CI/CD, and version control.
Job Title: GCP Data Engineer
Location: Phoenix, AZ (Onsite/Hybrid)
Job Summary
We are seeking an experienced GCP Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions on the Google Cloud Platform (GCP). The ideal candidate will have expertise in big data technologies, ETL/ELT development, data warehousing, and cloud-native services to support enterprise analytics and business intelligence initiatives.
Required Skills
• 6+ years of experience as a Data Engineer or Big Data Engineer.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expertise in BigQuery, Cloud Storage (GCS), Cloud Composer (Airflow), Dataflow, Dataproc, Pub/Sub, Cloud Functions, Cloud Run, and Cloud Build.
• Strong programming skills in Python, SQL, and PySpark.
• Experience building scalable ETL/ELT pipelines.
• Knowledge of Apache Spark, Apache Beam, and distributed data processing.
• Experience with workflow orchestration using Apache Airflow/Cloud Composer.
• Hands-on experience with Git, CI/CD, and version control.






