Java Application Developer with Data Integration

Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. This role primarily will become proficient with all internal & external data produced and consumed. The engineer will understand where the data is, basic data models and architecture, how to access and obtain data and how to manipulate and work with data to produce output - which may be reports, datasets or self-service reports. The ideal candidate is a self-motivated, adaptable, and composed collaborator that can learn quickly.

This role will be driving larger more complicated projects independently as well as mentoring less experienced engineers. Data Engineer will collaborate with business partners and cross-functional teams on data/reporting requests. The assignments will become broader in nature, usually requiring originality and ingenuity. This role will be accountable for successful outcomes related to designing, developing, implementing, optimizing, and maintaining data integrations, pipelines and solutions.

• Experience in Java development with Java 8 & above, J2EE, , Hibernate, Maven, GiT, Jenkins, JSON frameworks, XML, JMS, JDBC, Junit based testing frameworks like Mockito
• Demonstrated proficiency in Spring Framework including Data (JDBC, ORM, JMS), Security & Integration
• Proven experience in data engineering, implementation of best practices for data storage, integration, transformation, access, etc., within Azure and on-premise platforms
• Experience in building and optimizing real-time and near real time data integration solutions for scale, performance, reliability, and cost efficiency
• Experience with event streaming solutions like Apache Kafka and /or near real time messaging solutions such as Azure Service Bus is preferred.
• Experience in optimizing data pipelines to account for scale, performance, reliability, and cost efficiency is preferred
• Demonstrated proficiency in relational, NoSQL, hierarchical, and entity relationship data modeling

• Bachelor's degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent
• 5 plus years professional experience in data engineering, data architecture, data integration
• 5 plus years professional experience in Java development and Spring Framework

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


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