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Java Data Engineer Jobs in Indianapolis, IN (NOW HIRING)

Virtusa

Java Developer

Columbus, IN · On-site

$47.50 - $61.50/hr

Integrate microservices with Kafka for real-time data streaming and event-driven architecture ... Should Be a Java Full Stack Developer. Bachelor's or Master's degree in Computer Science or related ...

Deloitte

Java Developer Specialist

Indianapolis, IN · On-site +1

$48.75 - $63/hr

As an experienced Java Developer Specialist, you will have the ability to share new ideas and ... data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...

My3Tech Inc

Hybrid Java Developer

Indianapolis, IN · Hybrid

$48.75 - $63/hr

Hybrid Java Developer Length: 6 month+ This role will allow candidates to come into a fast-paced ... Respond to inquiries from users for assistance in diagnosing production system operation, data, and ...

SynergisticIT

Junior Data Scientist

Indianapolis, IN · On-site

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

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How much do java data engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for java data engineer in Indianapolis, IN is $57.76, according to ZipRecruiter salary data. Most workers in this role earn between $47.55 and $65.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java Data Engineer, and why are they important?

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are popular job titles related to Java Data Engineer jobs in Indianapolis, IN? For Java Data Engineer jobs in Indianapolis, IN, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Indianapolis, IN look for? The top searched job categories for Java Data Engineer jobs in Indianapolis, IN are:
Java Data Engineer jobs near you
Junior data analyst /Jr Java aws Developer-remote

Junior data analyst /Jr Java aws Developer-remote

SynergisticIT

Indianapolis, IN • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Synergisticit Job Opportunities

For more than 14 years Synergisticit has helped jobseekers stand out from other jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT we just don't focus on getting you a tech job we make careers. In this market also our candidates get multiple job offers and $100k+ salaries.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab etc to name a few.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates.

For data science/machine learning positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT project work on the technologies needed, highly motivated, self-learner, and technically inquisitive experience in programming language Java and understanding of the software development life cycle knowledge of statistics, SAS, Python, computer vision, data visualization tools excellent written and verbal communication skills. Preferred skills include NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow.

For Java/full stack/software positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT highly motivated, self-learner, and technically inquisitive experience in programming language Java and understanding of the software development life cycle project work on the skills knowledge of core Java, javascript, C++, or software programming Spring boot, microservices, Docker, Jenkins and REST API's experience excellent written and verbal communication skills.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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