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Junior Software Developer - AWS​/Java​/Data Scientist at SynergisticIT Newark, NJ

Job in Newark, Essex County, New Jersey, 07175, USA
Listing for: Clough AMEC.
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 95000 USD Yearly USD 95000.00 YEAR
Job Description & How to Apply Below

Salary: $95, per year

Requirements:
  • We welcome recent graduates in Computer Science, Engineering, Mathematics, or Statistics who have limited or no professional experience.
  • We are looking for candidates with a background in Java, full-stack development, Python, data engineering, data analysis, data science, machine learning, AI, or Dev Ops.
  • We consider job seekers affected by layoffs, career changers, candidates with employment gaps, and professionals seeking stronger in-demand technical skills.
  • We encourage applicants who recently completed a Bachelors or Masters degree and those who are still struggling to secure interviews despite prior experience.
  • We support candidates on F1/OPT who need a role for STEM extension or H-1B filing.
  • We value practical project experience, real-world application, and the ability to communicate confidently in professional settings.
  • We accept applicants across all visa types as well as U.S. citizens.
Responsibilities:
  • We place entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers in full-time client roles.
  • We match candidates with projects and roles where they can contribute from day one using the current tech stack employers want.
  • We help candidates strengthen their technical profile through relevant project work and market-aligned skill development.
  • We connect qualified resumes with client opportunities, where clients may contact candidates directly if there is a fit.
  • We support job seekers in building confidence, improving delivery, and demonstrating the soft skills needed in interviews and workplace settings.
Technologies:
  • AI
  • Dev Ops
  • Support
  • Java
  • Machine Learning
  • Python
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