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Seasonal Backend Developer Python Jobs in Carmel, IN

Onebridge

Senior AI Full Stack Engineer

Indianapolis, IN · On-site +1

You enjoy working across the entire stack, from designing backend services and APIs to crafting ... Design, develop, and support scalable full-stack applications and AI-powered solutions using Python ...

Onebridge

Senior AI Full Stack Engineer

Indianapolis, IN · On-site

$120 - $180/hr

You enjoy working across the entire stack, from designing backend services and APIs to crafting ... Design, develop, and support scalable full-stack applications and AI-powered solutions using Python ...

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Collaborate with backend engineers to integrate geospatial features into production systems ... Strong proficiency in Python for geospatial data analysis and modeling (GeoPandas, Shapely, Fiona ...

New

The AES Group

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... backend engineering experience delivering production-grade data pipelines, integrations, and ... Strong proficiency in Python and/or PySpark for pipeline orchestration, data transformation, API ...

Huntington

Principal Innovation Engineer

Indianapolis, IN

$102K - $208K/yr

... backend development depth * Strong hands-on software engineering experience using one or more modern programming languages (e.g., Java, Python, TypeScript/JavaScript, or similar), with the ability to ...

Allied Solutions LLC

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

... backend data solutions to meet business needs. * Develops, maintains, and updates data sets while ... Snowflake * Python * Orchestration (Apache Airflow, Step Functions, etc.) * Enhance skills and ...

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Seasonal Backend Developer Python information

See Carmel, IN salary details

$16K

$148K

$190.7K

How much do seasonal backend developer python jobs pay per year?

As of Aug 8, 2026, the average yearly pay for seasonal backend developer python in Carmel, IN is $148,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,300.00 and $167,200.00 per year, depending on experience, location, and employer.

What is the difference between Seasonal Backend Developer Python vs Backend Developer?

AspectSeasonal Backend Developer PythonBackend Developer
Required SkillsPython, Django/Flask, REST APIs, SQLPython, Django/Flask, REST APIs, SQL
Work EnvironmentTemporary, project-based, often remote or on-siteFull-time, permanent, on-site or remote
Industry UsageSeasonal projects in e-commerce, retail, or event-driven industriesContinuous development in tech, finance, healthcare

Seasonal Backend Developer Python roles focus on short-term projects requiring Python expertise, often in retail or e-commerce during peak seasons. In contrast, Backend Developers typically hold ongoing roles with broader responsibilities. Both roles require similar technical skills, but their employment duration and project scope differ.

What are the key skills and qualifications needed to thrive as a seasonal backend developer python?

To excel as a Seasonal Backend Developer Python, you need strong proficiency in Python programming, backend frameworks (such as Django or Flask), and experience with databases, usually supported by a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and containerization tools like Docker is often required. Problem-solving, effective time management, and teamwork are vital soft skills for handling project deadlines and collaborating remotely or with cross-functional teams. These skills ensure efficient, scalable backend solutions that meet seasonal business demands and integrate seamlessly with broader systems.

What are some typical challenges faced by a seasonal backend developer python, and how can applicants prepare for them?

Seasonal Backend Developers working with Python often face tight project timelines and the need to quickly adapt to existing codebases. Since the role is temporary, ramping up effectively and collaborating with permanent team members are essential. Applicants can prepare by familiarizing themselves with common Python frameworks (such as Django or Flask), practicing reading and debugging unfamiliar code, and honing their communication skills to integrate smoothly with established workflows. Being proactive in asking questions and seeking documentation can make the transition faster and more effective.

What is a seasonal backend developer python?

Seasonal Backend Developer Python jobs are temporary positions where developers use the Python programming language to build and maintain server-side applications for a specific period, often aligned with a company’s peak business season. These roles typically involve working on APIs, databases, and backend logic to support web or mobile applications. Employers seek individuals who can quickly adapt, contribute to ongoing projects, and help handle increased workloads during busy times, such as holidays or special events. Candidates should have strong Python skills, familiarity with backend frameworks like Django or Flask, and experience working with databases and cloud platforms.
Seasonal Backend Developer Python jobs near you

Senior AI Full Stack Engineer

Onebridge

Indianapolis, IN • On-site, Remote

Full-time

Posted 12 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Senior AI Full Stack Engineer to join our innovative and dynamic team.
Senior AI Full Stack Engineer | About You
As a Senior AI Full Stack Engineer, you are responsible for building modern, data-driven web applications that enable scientists and researchers to interact with complex datasets intuitively and efficiently. You enjoy working across the entire stack, from designing backend services and APIs to crafting responsive, elegant frontends. You thrive in environments where you collaborate closely with UX designers, scientists, and engineering partners to turn ideas into high-impact tools. You value clean architecture, reusable components, automated testing, and strong engineering best practices. You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable.
Senior AI Full Stack Engineer | Day-to-Day
  • Design, develop, and support scalable full-stack applications and AI-powered solutions using Python and modern development technologies.
  • Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management.
  • Develop agentic workflows, tool integrations, and function-calling capabilities to automate complex business processes and enhance user experiences.
  • Integrate enterprise applications with platforms such as Microsoft 365, SharePoint, Microsoft Graph, ServiceNow, Jira, and Confluence through secure APIs.
  • Implement secure authentication, authorization, and secrets management practices while ensuring compliance with enterprise security standards.
  • Collaborate with cross-functional teams to deliver, deploy, and continuously improve applications through CI/CD pipelines, containerization, and modern DevOps practices.

Senior AI Full Stack Engineer | Skills & Experience
  • 7+ years of experience in full-stack application development within enterprise or technology-driven environments, with strong proficiency in Python.
  • Hands-on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications.
  • Strong experience with enterprise integrations, including Microsoft 365, Microsoft Graph, SharePoint, ServiceNow, Jira, Confluence, and REST APIs.
  • Expertise in secure application development, including SSO integrations (SAML, OAuth2, OIDC), API gateways, middleware, and secrets management best practices.
  • Experience with modern DevOps and cloud-native development, including containerization, CI/CD pipelines, deployment automation, and application lifecycle management.

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