Redolent, Inc
Data Engineer (Python, PySpark, GCP & Airflow) | Remote Possible | Full-Time | W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 7+ years of experience in Python, Apache Spark, and GCP, focusing on building data pipelines and workflow orchestration using Airflow. Contract length is 6+ months, with remote work options available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#Data Science #ML (Machine Learning) #Apache Spark #GCP (Google Cloud Platform) #Cloud #Data Engineering #Deployment #AI (Artificial Intelligence) #PySpark #Storage #Version Control #Scala #Airflow #Apache Airflow #Spark (Apache Spark) #Data Pipeline #BigQuery #Dataflow #Python #Documentation
Role description
We are actively looking for a Data Engineer In Sunnyvale CA or REMOTE
TITLE: Data Engineer
LOCATION: Sunnyvale CA or REMOTE
Remote Duration: 6+ Months
Key skills - Apache Spark, Python, GCP, BigQuery, Dataflow & Airflow.
Description:
• 7+ years of experience in Data engineering build, and maintain robust data pipelines using Apache Spark and Python.
• Develop and manage workflow orchestration using Apache Airflow.
• Implement scalable data solutions on Google Cloud Platform (GCP) using services like BigQuery, Cloud Storage, Dataflow, and Vertex AI.
• Collaborate with data scientists to embed machine learning models into production-grade data pipelines.
• Ensure high performance, reliability, and scalability of data systems.
• Monitor, troubleshoot, and optimize data workflows and ML model performance.
• Maintain documentation and follow best practices for version control, testing, and deployment.
We are actively looking for a Data Engineer In Sunnyvale CA or REMOTE
TITLE: Data Engineer
LOCATION: Sunnyvale CA or REMOTE
Remote Duration: 6+ Months
Key skills - Apache Spark, Python, GCP, BigQuery, Dataflow & Airflow.
Description:
• 7+ years of experience in Data engineering build, and maintain robust data pipelines using Apache Spark and Python.
• Develop and manage workflow orchestration using Apache Airflow.
• Implement scalable data solutions on Google Cloud Platform (GCP) using services like BigQuery, Cloud Storage, Dataflow, and Vertex AI.
• Collaborate with data scientists to embed machine learning models into production-grade data pipelines.
• Ensure high performance, reliability, and scalability of data systems.
• Monitor, troubleshoot, and optimize data workflows and ML model performance.
• Maintain documentation and follow best practices for version control, testing, and deployment.
