We are looking for a Data Engineer with strong skills in Java and Spring Boot to design and build scalable data solutions for one of our client programs.
The role focuses on developing robust backend services and data pipelines, enabling seamless data integration across enterprise systems. You will work on event-driven architectures, API-driven integrations, and high-performance data processing solutions using modern technologies.
The ideal candidate should be comfortable working in a distributed, fast-paced environment, collaborating with cross-functional teams to deliver reliable and efficient data solutions. This role provides an opportunity to contribute to end-to-end data engineering initiatives, from development to deployment and support.
Key Responsibilities:
Design, build, and unit test Java-based applications for data processing
Develop backend services using Spring Boot and REST APIs
Build data pipelines integrating data from:
Relational databases (Oracle)
Implement event-driven data pipelines using Kafka (or MSK)
Develop and expose APIs for data access and integration
Work with structured and semi-structured data formats (JSON, XML, etc.)
Optimize application performance for high-volume data processing
Deploy applications using Docker containers
Participate in code deployment and release processes
Monitor and troubleshoot applications
Create documentation for usage, deployment, and support
Participate in agile development (scrum) and collaborate with cross-functional teams
- Required Skills:
Strong hands-on experience in Java development
Experience with Spring Boot framework
Experience working with Apache Kafka (event-driven architecture)
Strong experience with Oracle databases and SQL
Experience in building and consuming REST APIs
Knowledge of data processing and integration patterns
Familiarity with JSON/XML data formats
Understanding of Docker/containerization
Experience with MongoDB or other NoSQL databases is plus
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Base Compensation Range: $130,000- $150,000
- Design, build, and unit test Java-based applications for data processing
- Develop backend services using Spring Boot and REST APIs
- Build data pipelines integrating data from:
- Relational databases (Oracle)
- Implement event-driven data pipelines using Kafka (or MSK)
- Develop and expose APIs for data access and integration
- Work with structured and semi-structured data formats (JSON, XML, etc.)
- Optimize application performance for high-volume data processing
- Deploy applications using Docker containers
- Participate in code deployment and release processes
- Monitor and troubleshoot applications
- Create documentation for usage, deployment, and support
- Participate in agile development (scrum) and collaborate with cross-functional teams
Required Skills:
- Strong hands-on experience in Java development
- Experience with Spring Boot framework
- Experience working with Apache Kafka (event-driven architecture)
- Strong experience with Oracle databases and SQL
- Experience in building and consuming REST APIs
- Knowledge of data processing and integration patterns
- Familiarity with JSON/XML data formats
- Understanding of Docker/containerization
- Experience with MongoDB or other NoSQL databases is plus
Skills Required
- Strong hands-on experience in Java development
- Experience with Spring Boot framework
- Experience working with Apache Kafka (or MSK) for event-driven architectures
- Strong experience with Oracle databases and SQL
- Experience in building and consuming REST APIs
- Knowledge of data processing and integration patterns
- Familiarity with JSON and XML data formats
- Understanding of Docker and containerization
- Experience with MongoDB or other NoSQL databases
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
