Full-time
Posted 13 days ago
Job description
Junior Data Engineer - Build the Backbone of Data-Driven Teams
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.
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.
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.
We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates
Ideal Candidates:
Please check below links:
Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl
USA Today feature
Explore JOPP : https://www.synergisticit.com/jopp/
Contact: https://www.synergisticit.com/contact-us/
If you want to build the systems behind modern data teams, Contact us
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
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.
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.
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.
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
- Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/
- Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/
Please check below links:
Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl
USA Today feature
Explore JOPP : https://www.synergisticit.com/jopp/
Contact: https://www.synergisticit.com/contact-us/
If you want to build the systems behind modern data teams, Contact us
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a HRIS Data Architect and Data Warehouse Developer?
A: To succeed as a HRIS Data Architect and Data Warehouse Developer, key technical skills include proficiency in data modeling, data warehousing tools such as ETL (Extract, Transform, Load) software, and programming languages like SQL, Python, or Java. Additionally, strong analytical, problem-solving, and communication skills are essential, as well as the ability to collaborate with stakeholders and technical teams to design and implement data solutions. These strengths enable HRIS Data Architects and Data Warehouse Developers to effectively manage complex data systems, drive business insights, and support organizational growth.
Q: What is the career path for a HRIS Data Architect and Data Warehouse Developer?
A: A typical career progression for a HRIS Data Architect and Data Warehouse Developer involves starting as a Data Analyst or Business Intelligence Developer, then advancing to a Data Architect or Senior Data Analyst role, and eventually becoming a Lead Data Architect or Enterprise Data Architect. Key opportunities for skill development include learning data governance, cloud-based data platforms, and advanced data visualization tools, as well as developing expertise in data modeling, data warehousing, and business intelligence. Long-term career prospects may include transitioning into executive roles such as Chief Data Officer or Chief Information Officer, or pursuing specialized roles like Data Scientist or Business Intelligence Manager.
