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Remote Data Engineer (Junior)

Roles & Responsibilities

  • Bachelor's or Master's degree in Computer Science or a related field, or completion of a fast-paced coding bootcamp
  • Interest in cloud-native practices and modern data engineering tools (AWS or Azure; Databricks, Apache Spark, Airflow, Snowflake)
  • Willingness to participate in project-based learning, build a GitHub portfolio, and engage in ATS-optimized resume preparation and mock interviews
  • Motivation to pursue a full-time role at major tech companies with support from mentors and career strategists

Requirements:

  • Develop Spring Boot microservices and enterprise REST APIs to simulate production backends
  • Build DevOps pipelines with containerization, CI/CD automation, and cloud deployment using Docker, Jenkins, GitHub Actions, and Kubernetes
  • Work on data engineering tasks including ETL workflows, SQL optimization, and scalable data architectures
  • Receive hands-on mentorship, code reviews, and career strategy guidance, plus connecting with companies actively hiring

Job description


🎓 Already Spent 4 Years in College or Completed a Bootcamp—So Why Synergisticit
If you're a CS grad who's just finished a bachelor's or master's degree—or even completed a fast-paced bootcamp—you might be thinking: "I've already invested years of my life in learning. Why would I spend another 6 months to a year with SynergisticIT?”
Here's the honest answer: because we get you hired.
While college and bootcamps give you a strong foundation, they often miss the market-aligned, production-grade skills and support that help you land a full-time role at companies like Google, Visa, Apple, or Amazon. That's where SynergisticIT comes in—to help you bridge that final, make-or-break mile.
🚧 Why You're Still Waiting for Job Offers
CS degrees often skip cloud, DevOps, and modern architecture. Bootcamps rush through concepts but rarely dive into:
  • Spring Boot microservice design with real deployment cycles
  • CI/CD workflows using Jenkins, Docker, GitHub Actions, and Kubernetes
  • Cloud-native practices in AWS or Azure
  • Data Engineering tools like Databricks, Apache Spark, Airflow, Snowflake, and cloud data lakes
And none of them teach you how to market your skills through a project-based GitHub, ATS-optimized résumé, and mock interviews tailored to the hiring cycle.
✅ What we do
real-world, job-aligned preparation:
  • Spring Boot + Java projects that simulate enterprise backends and REST APIs
  • DevOps pipelines with containerization, CI/CD automation, and cloud deployment
  • Data Engineering experience with ETL workflows, SQL optimization, and scalable data architecture
  • Hands-on support from mentors, code reviewers, and career strategists
  • Certifications in Java, AWS, TensorFlow, Power BI, or Snowflake that make your résumé stand out
  • Connecting you with companies actively hiring developers, data engineers, and DevOps pros
🎯 Think of It as Career Insurance
You already invested 4 years—and possibly thousands of dollars—into college or a bootcamp. Are you really ready to let all that go unused while you wait another 6–12 months applying endlessly with no traction?
Instead, invest a few more months to secure a career that pays back for decades.
Our candidates land offers around $90-$150k Many even receive multiple offers. Some were just like you: thinking they know everything, until they realized hiring isn't just about skills—it's about proving you can deliver value immediately.
👉 See real outcomes from grads like you
You don't need more school—you need the final push that gets results. That's what SynergisticIT offers.
🔗 Apply now and let's get you hired

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