Data Scientist/Engineer - Junior (Remote)

SynergisticIT JOPP is good for junior data engineering candidates because it helps them develop practical technical depth and job-ready proof. Candidates can work toward stronger projects, better resume alignment, interview preparation, and clearer positioning for data engineering, data analyst, and data science-adjacent roles. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now.

Data engineering is a powerful path for candidates who like databases, pipelines, Python, SQL, and systems thinking. Data scientists and analysts depend on clean, accessible, reliable data and data engineers help make that possible. Entry-level candidates can stand out by showing they understand data movement, transformation, storage, and workflow basics., Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates:

• Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience
• Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack
• Professionals seeking a career switch to tech
• Candidates with career gaps or lacking real-world experience
• Individuals looking to boost their skill portfolio for better job prospects
• Computer Science grads with limited or no job experience
• Students who recently finished their Bachelor’s or Master’s programs
• Those struggling to land interviews despite having experience

SynergisticIT is seeking candidates interested in SQL, Python, ETL, data pipelines, databases, data modeling, cloud data tools, analytics engineering, and data warehouse concepts. This opportunity is ideal for candidates who want to build a technical data career beyond dashboards or notebooks.