

Galent
GCP Data Engineer with Python AND SQL
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer with 14+ years of experience in Python and GCP Bigtable. It is a contract position in New York, NY, requiring expertise in scalable cloud solutions, data architecture, and strong collaboration skills.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
July 17, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
New York, United States
-
π§ - Skills detailed
#BigQuery #Cloud #Data Storage #Deployment #GCP (Google Cloud Platform) #Storage #Security #DevOps #Data Engineering #Documentation #SQL (Structured Query Language) #Data Processing #Automation #Python #Monitoring #Scala
Role description
Job Title: GCP Data Engineer with Python AND SQL
Location: New York, NY β 5 days Onsite
Job Type: Contract
Job Summary
Seeking a GCP Data Engineer with 14+ years of experience in Python and GCP Bigtable to design, develop, and optimize scalable cloud solutions. The ideal candidate will have expertise in building cloud-native applications, architecting scalable data platforms, and leveraging Google Cloud technologies to drive performance, scalability, and operational efficiency.
Key Responsibilities
β’ Develop and maintain cloud applications leveraging Python and GCP Bigtable.
β’ Design scalable data storage solutions using GCP Bigtable.
β’ Utilize Python for automation and cloud solution development.
β’ Collaborate with cross-functional teams to build cloud-native architectures.
β’ Optimize cloud solutions for performance, scalability, and cost efficiency.
β’ Integrate GCP services to enhance data processing capabilities.
β’ Ensure adherence to security best practices in cloud deployments.
β’ Stay current with advancements in GCP technologies and industry trends.
β’ Architect and implement scalable cloud solutions using Python and GCP Bigtable.
β’ Troubleshoot and resolve issues related to cloud data storage and applications.
β’ Collaborate with DevOps teams to automate deployment and monitoring processes.
β’ Drive continuous improvement initiatives to enhance cloud infrastructure and application performance.
β’ Mentor and support team members in adopting best practices for Python and GCP development.
β’ Document technical designs, processes, and best practices for knowledge sharing.
β’ Engage with stakeholders to understand business requirements and translate them into effective technical solutions.
Required Skills
β’ GCP BigQuery
β’ GCP Bigtable
β’ GCP Cloud Composer
β’ Python
Qualifications
β’ 10+ years of experience in Python development and GCP-based cloud solutions.
β’ Strong expertise in GCP Bigtable and cloud-native application development.
β’ Experience designing and implementing scalable cloud architectures.
β’ Knowledge of cloud automation, deployment, and monitoring practices.
β’ Experience working with cross-functional teams, DevOps teams, and business stakeholders.
β’ Strong troubleshooting, documentation, and communication skills.
β’ Commitment to security best practices and continuous improvement.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.
https://www.e-verify.gov/sites/default/files/everify/posters/IER\_RighttoWorkPoster.pdf
Job Title: GCP Data Engineer with Python AND SQL
Location: New York, NY β 5 days Onsite
Job Type: Contract
Job Summary
Seeking a GCP Data Engineer with 14+ years of experience in Python and GCP Bigtable to design, develop, and optimize scalable cloud solutions. The ideal candidate will have expertise in building cloud-native applications, architecting scalable data platforms, and leveraging Google Cloud technologies to drive performance, scalability, and operational efficiency.
Key Responsibilities
β’ Develop and maintain cloud applications leveraging Python and GCP Bigtable.
β’ Design scalable data storage solutions using GCP Bigtable.
β’ Utilize Python for automation and cloud solution development.
β’ Collaborate with cross-functional teams to build cloud-native architectures.
β’ Optimize cloud solutions for performance, scalability, and cost efficiency.
β’ Integrate GCP services to enhance data processing capabilities.
β’ Ensure adherence to security best practices in cloud deployments.
β’ Stay current with advancements in GCP technologies and industry trends.
β’ Architect and implement scalable cloud solutions using Python and GCP Bigtable.
β’ Troubleshoot and resolve issues related to cloud data storage and applications.
β’ Collaborate with DevOps teams to automate deployment and monitoring processes.
β’ Drive continuous improvement initiatives to enhance cloud infrastructure and application performance.
β’ Mentor and support team members in adopting best practices for Python and GCP development.
β’ Document technical designs, processes, and best practices for knowledge sharing.
β’ Engage with stakeholders to understand business requirements and translate them into effective technical solutions.
Required Skills
β’ GCP BigQuery
β’ GCP Bigtable
β’ GCP Cloud Composer
β’ Python
Qualifications
β’ 10+ years of experience in Python development and GCP-based cloud solutions.
β’ Strong expertise in GCP Bigtable and cloud-native application development.
β’ Experience designing and implementing scalable cloud architectures.
β’ Knowledge of cloud automation, deployment, and monitoring practices.
β’ Experience working with cross-functional teams, DevOps teams, and business stakeholders.
β’ Strong troubleshooting, documentation, and communication skills.
β’ Commitment to security best practices and continuous improvement.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.
https://www.e-verify.gov/sites/default/files/everify/posters/IER\_RighttoWorkPoster.pdf






