Junior Software Engineer/Data scientist (New York)
This entry-level role targets recent graduates and professionals seeking to enter or switch to tech careers as software engineers, Java developers, or data scientists. The position emphasizes gaining hands-on experience, relevant skills, and certifications to become job-ready for full-time roles at leading tech companies. Confidential Client supports candidates through upskilling and marketing to bridge the gap between academic knowledge and employer expectations.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role overview
Confidential Client is hiring entry-level Junior Software Engineers / Data Scientists for full-time opportunities in Manhattan, NY. This is a hands-on position for candidates who want to build software and data products, learn modern engineering practices, and grow toward mid-level engineering or data science roles on an enterprise team.
What You’ll Do
- Contribute to software development and data projects using Java, Python, or related languages
- Implement and test features, fixes, and data pipelines under senior engineering guidance
- Work with product and data teams to translate requirements into reliable code and analyses
- Write unit and integration tests, and participate in code reviews
- Troubleshoot production issues and monitor services as needed
- Learn and apply modern tooling: version control (Git), CI/CD, containerization, and cloud fundamentals
What We’re Looking For
- Bachelor’s degree in Computer Science, Engineering, Math, Statistics, or equivalent experience — recent grads and career-switchers encouraged
- Academic or project experience with one or more languages (Java or Python preferred)
- Familiarity with data concepts: SQL, ETL basics, or simple analytics workflows
- Understanding of basic CS fundamentals: data structures, algorithms, and complexity
- Comfort using Git and working in a collaborative team environment
- Strong communicator, coachable, and motivated to learn on the job
- Authorized to work in the United States
Preferred (but not required)
- Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch) or data frameworks (Pandas, Spark)
- Exposure to REST APIs, microservices, or frontend frameworks for full‑stack roles
- Familiarity with Docker, basic cloud services (AWS/Azure/GCP), or CI/CD pipelines
- Internship, capstone, or open-source project contributions that demonstrate applied skills
Compensation & employment type
- Employment type: Full-time
- Estimated pay (from source data): $159,186 per year (estimated). Final compensation will be set by Confidential Client and will depend on role, experience, and other lawful considerations.
- Additional benefits and perks are set by Confidential Client and will be shared during the hiring process.
Location & work authorization
- Location: Manhattan, NY (on-site or hybrid as defined by the client). Remote work policies, if applicable, will be determined by Confidential Client.
- Applicants must be authorized to work in the United States.
Recruiter note
Careertakes is supporting Confidential Client as a third-party recruiter. Candidates may be considered for multiple similar opportunities through the platform; Confidential Client will make final hiring decisions. Resumes may be shared with the client and relevant teams per the recruiter’s process.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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