junior software engineer/Data scientist

junior software engineer/Data scientist

SynergisticIT

Phoenix, AZ

$113.70K - $136.50K/yr

Other

Posted 16 days ago


Job description

From 'I Know basics” to 'I'm Ready for Interviews': Level Up Without Starting Over.”
Not every jobseeker is a beginner. Many candidates already have foundational skills—maybe you've built projects, completed certifications, or worked in a tech-adjacent role. But when you apply to stronger companies or higher-paying roles, the bar shifts: you're expected to understand reliability, scalability, system design, cloud workflows, and real business tradeoffs. That's where many "training-only” paths fail—you learn tools, but you don't learn how to perform like a production engineer.
SynergisticIT has helped candidates since 2010 bridge that gap and land full-time roles with offers often ranging from $90,000 to $154,000, depending on role and level. JOPP candidates have received offers from employers such as Apple, Google, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Client, Walmart Labs, AutoZone, Client, and more. The program emphasis is not "watch videos and hope”—it's structured preparation aligned to what hiring managers actually test.
SynergisticIT supports roles such as entry-level programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The program focus areas are Java / Full Stack / DevOps and Data Engineering / Analytics / Data Science / BI + Machine Learning / AI. For candidates aiming to level up, the value is that you build depth across multiple layers: backend + databases + cloud + CI/CD + projects + interview readiness.
about 30% of candidates who join JOPP have already tried other bootcamps or online learning (Udemy, Coursera, university bootcamps) but did not get hired—because those paths often deliver training without delivering job conversion. Skills matter, but how you package and demonstrate them matters just as much.
If you want to explore the program directly, here are the key links:
  • Job Placement Program (JOPP):
  • Java Job Placement Program
  • Data Science / Data Jobs Program
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact: https://www.synergisticit.com/contact-us/
If you're ready to stop being "almost qualified” and start being the candidate employers trust, fill out the contact form and ask which JOPP path matches your salary and role goals.
Please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
The $100k H1B Filing Fee: Implications on U.S. Tech Employment | SynergisticIT
Wage-Based H-1B Filing
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs – SynergisticIT


Frequently asked questions

Q: What skills or qualities help someone succeed as a Data Software Engineer?

A: To succeed as a Data Software Engineer, key technical skills include proficiency in programming languages such as Python, Java, or C++, as well as expertise in data structures, algorithms, and software development methodologies like Agile. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial, as Data Software Engineers often work with cross-functional teams and stakeholders to design, develop, and deploy data-driven solutions. By combining technical expertise with strong soft skills, Data Software Engineers can effectively drive business outcomes, innovate, and adapt to the rapidly evolving landscape of data technology.

Q: What is the career path for a Data Software Engineer?

A: A Data Software Engineer's typical career progression involves starting as a Junior Software Engineer, where they focus on developing and maintaining data-driven software applications, and gradually advancing to roles such as Senior Software Engineer, Technical Lead, or Data Architect, where they oversee large-scale data systems and lead cross-functional teams. Key opportunities for skill development include learning programming languages like Python, SQL, and Java, as well as data science tools like Hadoop, Spark, and machine learning frameworks like TensorFlow and PyTorch. Long-term, Data Software Engineers may pursue leadership roles, such as Director of Engineering or Chief Technology Officer, or transition into related fields like data science, product management, or entrepreneurship.



SynergisticIT job posting for a junior software engineer/Data scientist in Phoenix, AZ with a salary of $113,700 to $136,500 Annually with a map of Phoenix location.