Carman Solutions Group

Python Developer with GCP and BigQuery Experience

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with GCP and BigQuery experience, based in North Andover, MA. The contract lasts over 6 months, offering a pay rate of $60,063.94 - $140,000 per year. Key skills include GCP, Python, and data pipeline expertise.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
636
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๐Ÿ—“๏ธ - Date
October 7, 2025
๐Ÿ•’ - Duration
More than 6 months
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๐Ÿ๏ธ - Location
On-site
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๐Ÿ“„ - Contract
Unknown
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
North Andover, MA 01845
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๐Ÿง  - Skills detailed
#Storage #Data Pipeline #Monitoring #Data Modeling #DevOps #IAM (Identity and Access Management) #Cloud #Scala #Deployment #"ETL (Extract #Transform #Load)" #Scripting #GCP (Google Cloud Platform) #Python #Automation #Data Processing #BigQuery #Indexing #Complex Queries
Role description
Title: Python Developer with GCP and BigQuery Experience Location: North Andover, MA (Relocation is fine) (Onsite) Duration: Fulltime VISA: USC, GC Video Interview Need to close in Next week Job Description Role Overview We are seeking a highly skilled professional with expertise in Google Cloud Platform (GCP), App Engine, Data Store, Python, and BigQuery. The candidate will take ownership of an existing application, gaining a deep understanding of its architecture, workflows, and data pipelines, and ensure smooth transition and continuity from the current resource. This role requires a mix of strong technical expertise and application ownership mindsetโ€”someone who can understand the application end-to-end, support ongoing operations, optimize performance, and drive enhancements. Key Responsibilities - Take full ownership of an existing cloud-native application hosted on GCP App Engine and Data Store. - Collaborate with the current resource to understand the systemโ€™s design, data model, integrations, and dependencies. - Maintain and enhance application workflows written in Python, ensuring code quality, scalability, and performance. - Design, develop, and optimize queries and analytics using BigQuery for reporting and data insights. - Manage deployments, monitoring, and troubleshooting in Google Cloud Platform (GCP). - Identify opportunities for improvements in architecture, cost optimization, and automation. - Ensure application uptime, performance, and reliability, including support for production incidents. - Act as the single point of accountability for the application, liaising with stakeholders, business users, and other technical teams. Required Skills & Experience - Strong hands-on experience with Google Cloud Platform (GCP) services, particularly: App Engine (application deployment, scaling, monitoring) Cloud Datastore / Firestore (data modeling, indexing, query optimization) BigQuery (ETL, complex queries, performance tuning) - Proficiency in Python for backend development, data processing, and scripting. - Good understanding of application integration patterns, APIs, and data pipelines. - Ability to analyze existing systems quickly, document them, and propose enhancements. - Strong problem-solving and troubleshooting skills. - Excellent communication and collaboration skills to work with business and technical stakeholders. Preferred Qualifications - Experience with GCP IAM, Cloud Functions, Cloud Storage, or Pub/Sub. - Familiarity with DevOps practices and CI/CD pipelines on GCP. - Background in application ownership/transition, including knowledge transfer from existing teams Requirements Role Overview We are seeking a highly skilled professional with expertise in Google Cloud Platform (GCP), App Engine, Data Store, Python, and BigQuery. The candidate will take ownership of an existing application, gaining a deep understanding of its architecture, workflows, and data pipelines, and ensure smooth transition and continuity from the current resource. This role requires a mix of strong technical expertise and application ownership mindsetโ€”someone who can understand the application end-to-end, support ongoing operations, optimize performance, and drive enhancements. Key Responsibilities - Take full ownership of an existing cloud-native application hosted on GCP App Engine and Data Store. - Collaborate with the current resource to understand the systemโ€™s design, data model, integrations, and dependencies. - Maintain and enhance application workflows written in Python, ensuring code quality, scalability, and performance. - Design, develop, and optimize queries and analytics using BigQuery for reporting and data insights. - Manage deployments, monitoring, and troubleshooting in Google Cloud Platform (GCP). - Identify opportunities for improvements in architecture, cost optimization, and automation. - Ensure application uptime, performance, and reliability, including support for production incidents. - Act as the single point of accountability for the application, liaising with stakeholders, business users, and other technical teams. Required Skills & Experience - Strong hands-on experience with Google Cloud Platform (GCP) services, particularly: App Engine (application deployment, scaling, monitoring) Cloud Datastore / Firestore (data modeling, indexing, query optimization) BigQuery (ETL, complex queries, performance tuning) - Proficiency in Python for backend development, data processing, and scripting. - Good understanding of application integration patterns, APIs, and data pipelines. - Ability to analyze existing systems quickly, document them, and propose enhancements. - Strong problem-solving and troubleshooting skills. - Excellent communication and collaboration skills to work with business and technical stakeholders. Preferred Qualifications - Experience with GCP IAM, Cloud Functions, Cloud Storage, or Pub/Sub. - Familiarity with DevOps practices and CI/CD pipelines on GCP. - Background in application ownership/transition, including knowledge transfer from existing teams Job Type: Contract Pay: $60,063.94 - $140,000.00 per year Work Location: In person