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Salary Comparison
Updated February 21, 2026
6 min read

Complete Data Engineer vs Java Developer Salary Comparison (2026)

Explore the salary differences, benefits, and career paths between Data Engineers and Java Developers in 2025.

• Reviewed by Sarah Chen

Sarah Chen

Senior Career Advisor

12+ years in HR and recruitment

Quick Comparison

Data Engineer

$113,667

avg. annual salary

0%

Data Engineer
pays more on average

Java Developer

$113,620

avg. annual salary

In the tech industry, the roles of Data Engineer and Java Developer are both highly sought after, but they cater to different interests and skill sets. Understanding the salary ranges, benefits, and potential career paths for these two positions can help you make informed decisions about your career trajectory. Data Engineers focus on managing and optimizing data pipelines, while Java Developers concentrate on building and maintaining robust applications using the Java programming language. Each role offers unique challenges and opportunities for growth. This comprehensive comparison will delve into the specifics of salaries, benefits, and what you can expect from each career path, helping you navigate your choices in the tech landscape.

Salary by Experience Level

Data Engineer Entry
$77,000

starting salary

Java Developer Entry
$76,968

starting salary

Salary Difference
$47

avg. difference (0%)

Salary Overview

As of 2025, the average salary for a Data Engineer is approximately $115,000 per year, with a salary range between $90,000 and $140,000 based on experience and location. Conversely, the average salary for a Java Developer stands at around $105,000 annually, with a range of $80,000 to $130,000.

While both roles are lucrative, Data Engineers generally earn slightly more due to the specialized skills required in handling big data technologies.

Benefits

Both Data Engineers and Java Developers enjoy a range of benefits in their roles. Common benefits include health insurance, retirement plans, and paid time off.

Data Engineers may also receive bonuses related to project performance, while Java Developers might benefit from flexible work arrangements or opportunities for remote work. Some companies offer professional development stipends for both roles, encouraging continuous learning and skill enhancement.

Career Path and Growth Opportunities

The career paths for Data Engineers and Java Developers differ significantly. Data Engineers can move into senior roles or pivot towards data architecture or data science.

With the increasing demand for data-driven decision-making, their career prospects look promising. Java Developers, on the other hand, may advance to senior developer roles, software architect positions, or even project management.

Both pathways present opportunities for advancement and higher salaries as you gain experience and expertise.

Skills and Requirements

Data Engineers typically need skills in SQL, Python, big data frameworks, and data warehousing solutions. Familiarity with cloud services is also essential.

Java Developers need a solid understanding of Java, software development principles, and related technologies like Spring and Hibernate. Both roles require analytical skills and problem-solving abilities; however, the specific technical knowledge varies significantly between the two.

Final Thoughts

When choosing between a career as a Data Engineer or a Java Developer, consider your interests and strengths. Both paths offer lucrative salaries and promising career growth.

Ultimately, selecting a role that aligns with your passions and skills will lead to a more satisfying career. Remember to stay updated with industry trends and continue enhancing your skill set, regardless of your chosen path.

Detailed comparison

### Data Engineer vs Java Developer — Detailed comparison

  • Salary ranges (US, 2025): Data Engineer $95k–$170k; Java Developer $85k–$150k. On average Data Engineers earn ~15% more.
  • By level: Entry $70k–95k vs $65k–85k; Mid $100k–140k vs $90k–120k; Senior $145k–200k vs $130k–180k.
  • Core skills: Data Eng — Spark, Kafka, SQL, cloud ETL; Java Dev — Spring, JVM tuning, microservices.
  • Top sectors: Fintech, cloud platforms, adtech pay 520% premiums.

Actionable takeaways:

  • Earn cloud and distributed-systems certs to increase pay.
  • Java developers should add microservices and performance tuning to close the gap.

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