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Entry Level Java/DevOps Developer/Data Analyst - Remote

Confidential Client•Consulting
Entry LevelFull-timeFull Remote$101,395
Elkins Park, Pennsylvania
21 Hours Ago

This entry-level role targets recent graduates and professionals seeking to upskill in Java, DevOps, and data-related technologies. The position emphasizes structured learning, practical project experience, and career support to build an employer-ready profile. It offers a fully remote opportunity to develop skills in software development, data analysis, and machine learning within a supportive job placement program.

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Description

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 & Technology Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


Overview

Confidential Client is hiring for an entry-level technical role focused on Java, DevOps practices, and data analysis. This is a remote-friendly opportunity (US-based) geared toward recent graduates, career switchers, and candidates rebuilding momentum after gaps or layoffs. The role combines hands-on learning with practical project work to accelerate your job-readiness and placement.


What You’ll Do

  • Support development and maintenance of Java codebases and related applications.
  • Assist with CI/CD pipelines, automation, and environment provisioning.
  • Perform entry-level data analysis and reporting using SQL and common BI tools.
  • Write and maintain scripts for build, test, and deployment tasks.
  • Collaborate with engineering teams to triage issues and contribute to solutions.
  • Participate in training, project-based learning, and resume/interview coaching provided by the program.
  • Communicate progress and technical findings clearly to non-technical stakeholders.

Who You Are / Minimum Qualifications

  • Recent graduate (BS/MS) in Computer Science, Engineering, Math, Statistics or equivalent coursework — OR comparable self-taught/project experience.
  • Basic exposure to Java or another object-oriented language.
  • Familiarity with SQL and comfort working with data (queries, simple transforms).
  • Comfortable using Linux/macOS command line and version control (Git).
  • Strong willingness to learn, take direction, and apply feedback.
  • Good verbal and written communication skills.

Preferred / Nice-to-Have

  • Hands-on or coursework experience with:
    • Docker and container basics
    • CI/CD tools (Jenkins, GitHub Actions, GitLab CI)
    • Cloud fundamentals (AWS/GCP/Azure)
    • Python for scripting or data work
    • Basic data visualization (Tableau, Power BI, or similar)
  • Internship or project experience building small web apps or data projects.
  • Interest in DevOps practices, site reliability concepts, or data engineering.

Why Join

  • Structured upskilling and practical project work to make your resume employer-ready.
  • Mentoring, interview prep, and targeted distribution to hiring partners.
  • Remote-first role with opportunities to work across modern Java, DevOps, and data stacks.
  • Ideal for recent grads, those returning to work after a gap, or professionals switching into tech.

Compensation & Location

  • Estimated annual compensation (as listed): $101,395 per year — Confidential Client.
  • This is a remote-friendly role. Candidates should be authorized to work in the U.S.; availability to collaborate in U.S. time zones (Eastern preference) is helpful.

Keywords (helpful to include on your application/resume)

  • Java • DevOps • CI/CD • SQL • Data Analysis • Entry Level • Remote • Full Stack • Docker • AWS

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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