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Aspire

Software Engineer, Data and Java

Posted 2 days ago
Worldwide
2-5 years experience
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AI Summary

Develop and maintain Java-based services and data processing components to build scalable backend solutions. Collaborate with stakeholders to deliver technical solutions while ensuring system reliability and performance.

This is a remote position.

About the Job

As a Software Engineer – Data & Java, you will combine your strong Java development and data systems experience to build and maintain scalable backend and data-driven services. You will work on data processing, integrations, and enterprise applications while collaborating with engineering and business stakeholders to deliver reliable and scalable technical solutions

 

What you’ll do

  • Develop and maintain Java-based services and data processing components.
  • Build scalable solutions for data ingestion, transformation, and system integration.
  • Collaborate with engineering and business stakeholders to deliver technical solutions.
  • Support system design, implementation, testing, and production operations.
  • Improve the performance, reliability, and maintainability of backend and data services.
  • Troubleshoot defects and production issues across application and data layers.
  • Contribute to documentation, code reviews, and engineering best practices.


What you’ll need
  • 4+ years of software engineering experience.
  • Strong Java development skills.
  • Experience working with data-oriented systems, ETL processes, or backend data services.
  • Understanding of APIs, databases, and distributed application design.
  • Strong analytical, debugging, and communication skills.
  • Ability to work effectively in collaborative Agile teams.
  • Ability to ramp into existing systems and contribute quickly.
  • Strong delivery focus across application and data engineering work.
  • Comfortable working in cross-functional engineering environments.
  • Experience with Spark, Kafka, or large-scale data platform tools.

 
Nice-to-Have:

  • Familiarity with cloud platforms, CI/CD, and data pipeline operations.
  • Experience supporting high-volume enterprise systems.


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