

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.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
636
-
๐๏ธ - Date
October 7, 2025
๐ - Duration
More than 6 months
-
๐๏ธ - Location
On-site
-
๐ - Contract
Unknown
-
๐ - Security
Unknown
-
๐ - Location detailed
North Andover, MA 01845
-
๐ง - 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 mindsetโsomeone
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 systemโs 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 mindsetโsomeone
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 systemโs 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
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 mindsetโsomeone
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 systemโs 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 mindsetโsomeone
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 systemโs 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