Aptino, Inc.
GCP API Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP API Developer with a contract length of "unknown," offering a pay rate of "$XX/hour." Requires 5+ years in Data Engineering, 3+ years in API development, and strong skills in GCP, Python/Java/Scala, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
May 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Nashville, TN
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #API (Application Programming Interface) #Python #Scala #BigQuery #Data Quality #Cloud #Kafka (Apache Kafka) #SQL (Structured Query Language) #Data Engineering #Automation #Data Pipeline #FastAPI #Java #ML (Machine Learning) #Data Architecture #Spark (Apache Spark) #AI (Artificial Intelligence)
Role description
We’re looking for a Senior Staff Data Engineer to design, build, and scale API-driven data solutions on GCP. You’ll work with cross-functional teams to develop robust data pipelines, enable self-service analytics, and drive best practices in API development, CI/CD, and data architecture.
Key Responsibilities:
• Design and build scalable data pipelines and APIs
• Develop cloud-based solutions using GCP (BigQuery, Cloud Run, GKE, etc.)
• Implement automation, CI/CD, and data quality best practices
• Collaborate with data teams to deliver insights and AI/ML solutions
• Mentor engineers and promote engineering excellence
Requirements:
• 5+ years in Data Engineering, 3+ years in API development
• Strong experience with GCP, Python/Java/Scala, SQL
• Hands-on with APIs (FastAPI, Apigee), Kafka/Spark, CI/CD
• Experience with modern data architecture and cloud best practices
We’re looking for a Senior Staff Data Engineer to design, build, and scale API-driven data solutions on GCP. You’ll work with cross-functional teams to develop robust data pipelines, enable self-service analytics, and drive best practices in API development, CI/CD, and data architecture.
Key Responsibilities:
• Design and build scalable data pipelines and APIs
• Develop cloud-based solutions using GCP (BigQuery, Cloud Run, GKE, etc.)
• Implement automation, CI/CD, and data quality best practices
• Collaborate with data teams to deliver insights and AI/ML solutions
• Mentor engineers and promote engineering excellence
Requirements:
• 5+ years in Data Engineering, 3+ years in API development
• Strong experience with GCP, Python/Java/Scala, SQL
• Hands-on with APIs (FastAPI, Apigee), Kafka/Spark, CI/CD
• Experience with modern data architecture and cloud best practices
