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How much do graduate python developer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for graduate python developer in New York is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What is a Graduate Python Developer job?

A Graduate Python Developer is an entry-level role for individuals who have recently completed a degree in computer science, software engineering, or a related field. This position involves writing, testing, and maintaining Python code for various applications, often under the guidance of senior developers. Graduates in this role typically work on backend development, automation, data processing, or web applications. They are expected to have a good understanding of Python fundamentals, problem-solving skills, and the ability to work in a team environment. The role serves as a stepping stone into more advanced software development positions.

What are the key skills and qualifications needed to thrive in the Graduate Python Developer position, and why are they important?

To thrive as a Graduate Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving skills, and a relevant degree in computer science or a related field. Familiarity with version control systems like Git, basic knowledge of databases, and exposure to development frameworks or cloud platforms are often important technical components. Strong communication skills, eagerness to learn, and the ability to work collaboratively in a team environment are crucial soft skills. These abilities enable you to quickly adapt, effectively contribute to projects, and grow professionally in dynamic software development settings.

What types of projects and responsibilities can a Graduate Python Developer typically expect during their first year?

As a Graduate Python Developer, your initial projects will often involve writing and testing code, debugging simple applications, and supporting more experienced developers on ongoing projects. You'll collaborate closely with your team, participate in code reviews, and gradually take on more responsibility as you become familiar with the company's codebase and development practices. It's common to be assigned tasks related to scripting, automation, data analysis, or building small features within larger applications. This hands-on experience allows you to develop your technical skills, understand real-world software workflows, and prepare for more advanced tasks as you progress in your career.
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Graduate Python Developer jobs near you
(Recent Graduate) Human Data Manager

(Recent Graduate) Human Data Manager

Micro1

Manhattan, NY • Remote

Full-time

Posted 2 days ago

Job description

Get AI-powered advice on this job and more exclusive features. Job Title: Human Data Manager Job Type: Full-time Location: Remote About Us The AI platform for human intelligence—we build models that rigorously vet PhDs and scale human data training for frontier LLMs. Our agent, Zara, autonomously sources and evaluates researchers and data trainers—powering post‐training (RLHF, evals, red‐teaming) for top AI labs.

We're trusted by nearly every major AI lab to deliver the people and processes that keep their models safe, aligned, and performant. Job Summary Join our team as a Human Data Manager and drive operational excellence at the intersection of data, technology, and business process optimization. This is a unique opportunity for ambitious recent graduates with a technical mindset and a hunger for rapid career growth, to make a tangible impact from day one.

Key Responsibilities Design, build, and manage robust data workflows for accurate annotation, collection, processing, and analysis. Establish and monitor KPIs to optimize operational performance and drive data‐driven decision‐making. Analyze datasets to uncover actionable insights and present recommendations that accelerate efficiency.

Collaborate cross‐functionally to align data strategies with overarching business objectives. Develop and maintain comprehensive reporting frameworks tracking key metrics and workflow improvements. Continuously refine processes to ensure scalability, maintain data integrity, and uphold quality standards.

Demonstrate ownership and a proactive, hands‐on approach to identifying and solving operational challenges. Required Skills and Qualifications Recent Bachelor's or Master's graduate in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance or other related fields. Technical aptitude with demonstrated experience in data analysis, annotation, or workflow optimization.

Familiarity with operational processes and a passion for increasing efficiency. Ability to interpret and communicate data‐driven insights clearly and persuasively, both in writing and verbally. Strong drive to learn, thrive under pressure, and a willingness to work hard in a fast‐paced environment.

Excellent collaboration skills and attention to detail in managing data quality and validation. Preferred Qualifications Background in engineering or technical fields with operational focus or human data projects. Experience with data visualization tools (such as Excel, Tableau, Power BI) or programming languages (such as Python, SQL).

Internship or project‐based experience in data management, AI/ML, or process optimization. #J-18808-Ljbffr

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