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Contract Python Developer Google Jobs in Springfield, MA

ExlService Holdings, Inc.

GCP Cloud Engineer

Hartford, CT · On-site

$115.50K - $138.70K/yr

... Google Cloud Platform. In this role, you will develop scalable data pipelines, enable advanced ... Expertise in Python for data processing, automation, and pipeline development. * Strong proficiency ...

Maximus

AI/ML Software Developer

Springfield, MA · Remote

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

Maximus

AI/ML Software Developer

Hartford, CT · Remote

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105.90K - $143.90K/yr

Deep desire for automation using devops practices and toolsets * Have a desire to simplify;be ... google cloud) * 6+ years of working in an object-oriented language: Java or Scala and Python * 3+ ...

CircuitHub

Full-Stack Robotics Engineer

Deerfield, MA · On-site

We've raised $20M from top-tier investors including Y Combinator and Google Ventures -and we're ... Python for control and automation * Beckhoff TwinCAT for industrial PLC integration * SolidWorks ...

DataAnnotation

UI Engineer

Hartford, CT · Remote

$40/hr

To apply to this role, you will need to be proficient in either Python and/or JavaScript. Your role ... This is an independent contract position. #coder #J-18808-Ljbffr

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How much do contract python developer google jobs pay per hour?

As of May 30, 2026, the average hourly pay for contract python developer google in Springfield, MA is $58.42, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $66.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Python Developer at Google, and why are they important?

To thrive as a Contract Python Developer at Google, you need strong proficiency in Python programming, experience with software development lifecycles, and a relevant technical degree or equivalent experience. Familiarity with Google Cloud Platform (GCP), code versioning tools like Git, and frameworks such as Django or Flask is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These abilities ensure high-quality, scalable code delivery and smooth collaboration within dynamic, fast-paced engineering teams at Google.

How does working as a Contract Python Developer at Google typically integrate with permanent engineering teams?

As a Contract Python Developer at Google, you'll often work closely with permanent engineering teams on specific projects or to address particular skill gaps. Contractors are usually expected to quickly adapt to existing codebases and contribute to ongoing development cycles, collaborating through code reviews, stand-ups, and sprint planning. While you may not participate in long-term strategic planning, your input is valued in delivering high-quality, scalable solutions. Effective communication and the ability to onboard rapidly are key to success in this dynamic environment.

What does a Contract Python Developer do at Google?

A Contract Python Developer at Google is responsible for designing, developing, testing, and maintaining Python applications or scripts that support various projects and services. They typically work on a contract basis, contributing to short- or long-term initiatives, such as data analysis, automation, backend development, or integration tasks. Contract developers often collaborate with full-time engineers and other teams to deliver scalable and efficient solutions that meet Google's high standards. Their work may involve using Google Cloud Platform, APIs, and other internal tools to solve technical challenges.

What is the difference between Contract Python Developer Google vs Contract Python Engineer?

AspectContract Python Developer GoogleContract Python Engineer
Required CredentialsPython certification, relevant experience, possibly Google-specific toolsPython certification, general software engineering experience
Work EnvironmentGoogle's offices or remote, collaborative teams, fast-paced projectsVaries by employer, often remote or on-site, project-based
Industry UsagePrimarily in tech, cloud, and software servicesTech, finance, startups, and enterprise sectors
Search & Comparison IntentLooking for Google-specific contract roles involving PythonGeneral Python contract roles in various industries

Contract Python Developer Google typically involves working on Google's platforms with specific tools and environments, often requiring familiarity with Google Cloud. Contract Python Engineer is a broader role applicable across multiple industries, focusing on Python development without the Google-specific context. Both roles demand strong Python skills, but the Google role emphasizes familiarity with Google's ecosystem.

What are popular job titles related to Contract Python Developer Google jobs in Springfield, MA? For Contract Python Developer Google jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Contract Python Developer Google jobs in Springfield, MA look for? The top searched job categories for Contract Python Developer Google jobs in Springfield, MA are:
Contract Python Developer Google jobs near you
GCP Cloud Engineer

GCP Cloud Engineer

ExlService Holdings, Inc.

Hartford, CT • On-site

$115.50K - $138.70K/yr

Full-time

Posted 25 days ago

ExlService Holdings rating

8.3

Company rating: 8.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

60th of 424 rated business services

Job description

We are seeking a highly skilled GCP Data Engineer to design, build, and optimize data solutions on Google Cloud Platform. In this role, you will develop scalable data pipelines, enable advanced analytics, and partner closely with our Data Science team to support model development and deployment workflows. You will work with modern cloud-native tools across GCP, applying engineering best practices to deliver highquality, production-ready data systems

  • 4-7 years of experience as a Data Engineer or similar role, with strong hands-on work in GCP.
  • Expertise in Python for data processing, automation, and pipeline development.
  • Strong proficiency in SQL, including building complex queries and optimizing performance.
  • Hands-on experience with core GCP data engineering services:
  • BigQuery (data modeling, performance optimization, storage practices)
  • Cloud Composer (Airflow orchestration)
  • DataProc (Spark workloads)
  • GKE (Kubernetes-based deployment)
  • Experience in Snowflake is preferred.
  • Knowledge of LLMs and RAG is a plus.
  • Experience working with Vertex AI, supporting Data Science workflows such as training pipelines, model registry, feature store, and deployment.
  • Experience in CI/CD setup using GitHub Actions for data and ML pipelines.
  • Strong understanding of data architecture, schema design, and distributed data systems.
  • Ability to work closely with Data Scientists and translate analytical needs into engineering solutions.
  • Excellent communication and problemsolving skills, with the ability to work in a fast-paced, collaborative environment.
  • Design, build, and maintain scalable, secure, and highperformance data pipelines on GCP.
  • Develop and manage ETL/ELT workflows using Python, SQL, Cloud Composer, and DataProc.
  • Create and optimize enterprise-grade data models and storage solutions using BigQuery.
  • Partner with Data Science teams to support model development, experimentation, feature engineering, and ML pipeline deployment, including leveraging Vertex AI.
  • Set up and maintain CI/CD pipelines using GitHub Actions, ensuring automated testing, versioning, and deployment of data workflows.
  • Use GKE to orchestrate containerized data applications and services.
  • Implement best practices in data quality, version control, monitoring, and performance tuning.
  • Collaborate with cross-functional teams (Product, Engineering, Data Science, Business) to translate data needs into technical solutions.
  • Ensure data governance, security, and compliance with enterprise and regulatory standards.

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