Job DescriptionWe 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
ResponsibilitiesKey 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
QualificationsRequired 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
