Java Engineer

Location: Remote

ABOUT THIS FEATURED OPPORTUNITY

The Java Engineer will join the Ads Engineering team to support a high-impact data platform powering reporting dashboards and analytics at scale. This role sits within the data pipeline team and is focused on building and optimizing the systems that ingest, process, and prepare large datasets for downstream consumption in distributed data stores. You will work on transforming and aggregating data from multiple sources into unified, analytics-ready formats that drive business insights.

THE OPPORTUNITY FOR YOU

• Design and build scalable data pipelines using Java and Spark to process and transform large datasets across multiple systems
• Develop Spark jobs that join data from disparate sources and create unified views for downstream ingestion into Druid
• Implement data aggregation, filtering, and transformation logic to ensure high-quality, analytics-ready data
• Work within established data pipeline frameworks to build and extend reusable, scalable pipeline components
• Manage data propagation across systems, ensuring reliability, consistency, and performance at scale
• Optimize and tune Kafka configurations to improve streaming performance and data throughput
• Deploy, test, and debug services across local and cloud environments, primarily within AWS and Kubernetes (EKS)
• Collaborate cross-functionally with API and platform teams to ensure seamless data flow and integration across systems

KEY SUCCESS FACTORS

• 5+ years of backend engineering experience with strong proficiency in Java
• Hands-on experience building large-scale data pipelines using Apache Spark
  • Strong understanding of distributed data processing and data transformation patterns
  • Familiarity with data pipeline frameworks and building reusable, scalable components
  • Ability to work across multiple systems and ensure reliable data movement and ingestion
• Experience working with Kafka, including performance tuning and configuration optimization
• Experience deploying and debugging applications in AWS environments, including Kubernetes (EKS)

NICE TO HAVES

• Experience working with Apache Druid for large-scale data ingestion and querying
• Experience with Apache Flink for real-time data processing

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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