Smart IT Frame LLC

Data Engineer GCP & Python

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in GCP and Python, requiring 5-7 years of experience. It is an onsite position in New York with a focus on scalable cloud solutions, automation, and collaboration with DevOps teams.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, United States
-
🧠 - Skills detailed
#DevOps #Storage #Cloud #Data Storage #Security #Deployment #Scala #Automation #Python #Data Processing #Data Engineering #GCP (Google Cloud Platform) #Monitoring
Role description
Job Title: Data Engineer GCP & Python Location: New York (Onsite) Job Summary Seeking a Specialist with 5 to 7 years of experience in Python and GCP Bigtable to design develop and optimize scalable cloud solutions Job Description Develop and maintain cloud applications leveraging Python and GCP Bigtable Design scalable data storage solutions using GCP Bigtable Utilize Python for automation and cloud solution development Collaborate with cross functional teams to build cloud native architectures Optimize cloud solutions for performance scalability and cost efficiency Integrate GCP services to enhance data processing capabilities Ensure adherence to security best practices in cloud deployments Stay updated with the latest advancements in GCP technologies and industry trends Roles and Responsibilities Architect and implement scalable cloud solutions using Python and GCP Bigtable Troubleshoot and resolve issues related to cloud data storage and applications Collaborate with DevOps teams to automate deployment and monitoring processes Drive continuous improvement initiatives to enhance cloud infrastructure and application performance Mentor and support team members in adopting best practices for Python and GCP development Document technical designs processes and best practices for knowledge sharing Engage with stakeholders to understand business requirements and translate them into effective technical solutions