Droisys

GCP Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer in Phoenix, AZ, with a contract length of unspecified duration at a pay rate of $60/hr C2C. Key skills required include GCP, BigQuery, ETL/ELT pipelines, SQL, and Python, with 5+ years of experience needed.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
480
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πŸ—“οΈ - Date
June 6, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
1099 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#Scala #Security #Data Governance #Data Modeling #Datasets #Cloud #Data Engineering #BigQuery #Airflow #Data Pipeline #Strategy #Programming #"ETL (Extract #Transform #Load)" #DevOps #Batch #Dataflow #Terraform #Apache Spark #Databricks #Hadoop #Snowflake #Python #Agile #Data Processing #Kafka (Apache Kafka) #Computer Science #Storage #SQL (Structured Query Language) #Spark (Apache Spark) #Data Science #GCP (Google Cloud Platform)
Role description
About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details, GCP Data Engineer Phoenix, AZ – Onsite Rate Range $60 hr C2C All Inc Job Summary We are seeking a highly skilled Data Engineer with strong experience in Google Cloud Platform (GCP) technologies to join our team in Phoenix, AZ, USA (Onsite). The ideal candidate will have expertise in building scalable data pipelines, cloud-based ETL solutions, and modern data warehousing architectures. Candidates must be comfortable attending an onsite Face-to-Face interview in Phoenix, AZ. Required Skills β€’ Strong experience in Google Cloud Platform (GCP) β€’ Hands-on expertise with: β€’ BigQuery β€’ Dataflow β€’ Pub/Sub β€’ Cloud Composer β€’ Cloud Storage β€’ Strong SQL and Python programming skills β€’ Experience building ETL/ELT pipelines β€’ Strong understanding of data modeling and data warehousing β€’ Experience with Apache Spark and Hadoop ecosystem β€’ Familiarity with CI/CD and DevOps practices β€’ Experience handling large-scale structured and unstructured datasets Responsibilities β€’ Design, develop, and maintain scalable data pipelines on GCP β€’ Build and optimize ETL/ELT workflows β€’ Collaborate with cross-functional teams including analysts and data scientists β€’ Implement data governance, quality, and security standards β€’ Troubleshoot and optimize production workflows β€’ Improve BigQuery performance and cost optimization β€’ Support batch and real-time data processing solutions Qualifications β€’ Bachelor’s degree in Computer Science, IT, or related field β€’ 5+ years of Data Engineering experience β€’ 3+ years of hands-on GCP experience β€’ Strong problem-solving and communication skills β€’ Experience working in Agile environments Preferred Skills β€’ GCP Certifications β€’ Experience with Kafka, Airflow, Terraform β€’ Exposure to Snowflake or Databricks Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.