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Aspire

Software Engineer, Data and Java

Aspire

Staffing and Recruiting · 11-50 employees

Sep 01
Remote java Mid (2-5 yrs) Full-time
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About the role

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.

What they look for

Java Data Systems Backend Development Data Processing System Integration ETL APIs Databases Distributed Application Design Spark Kafka Agile Debugging CI/CD Cloud Platforms

Requirements

Requires 4+ years of software engineering experience with strong Java development and data systems expertise. Candidates should have experience with ETL processes, distributed application design, and large-scale data tools like Spark or Kafka.

Full description

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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