Staff ETL Java Engineer

ISA Consulting is an IT company offering end-to-end solutions in Digital Transformation, Digital Consulting and Business Process Services - supporting all Tech Stacks. Collectively we service a multitude of clients across industries and company verticals. We are a culmination of some of the brightest Full Stack Developers, Data Engineers, Architects, Project Managers, Quality Analysts, Strategists, spanning across multiple time zones. Job Summary We are seeking a highly capable and results-driven professional to join our team in the role of Staff ETL Java Engineer. This position plays a key role in supporting the organization's goals by contributing to design, develop and optimize large-scale ETL pipelines used to process and analyze high volumes of documents within AI-driven eDiscovery systems, implement performance improvements in Java-based processing pipelines through code-level optimizations, improved algorithms, and resource management. The ideal candidate will bring a combination of relevant experience, strong interpersonal skills, and a proactive mindset. This role requires collaboration across teams, a commitment to excellence, and the ability to thrive in a dynamic environment. Responsibilities & Duties Design, develop, and optimize large-scale ETL pipelines used to process and analyze high volumes of documents within AI-driven eDiscovery systems. Implement performance improvements in Java-based processing pipelines through code-level optimizations, improved algorithms, and resource management. Identify and remediate performance bottlenecks in complex data-processing workflows to improve system throughput and reliability. Design and implement parallel processing strategies to accelerate large dataset ingestion and transformation tasks. Optimize data transformation and extraction workflows to ensure efficient processing of structured, semi-structured, and unstructured document data. Collaborate with engineering, AI/ML, and infrastructure teams to integrate ETL pipelines with AI analytics and document intelligence systems. Develop tools and monitoring capabilities to track pipeline performance, processing efficiency, and failure points. Troubleshoot and resolve data pipeline failures and processing errors in production environments. Implement robust error handling, logging, and retry mechanisms to improve pipeline resiliency and reliability. Contribute to architectural decisions that improve scalability and maintainability of the data processing platform. Participate in code reviews and establish best practices for high-performance Java data processing systems. Document ETL processes, pipeline architecture, and optimization strategies for internal teams. Perform other duties and responsibilities as assigned to support team, department, and organizational goals. Requirements and Skills Strong analytical mindset with the ability to diagnose and resolve complex performance issues in large-scale systems. Detail-oriented with a focus on system efficiency, reliability, and scalability. Ability to work independently on complex engineering challenges while collaborating across cross-functional teams. Strong communication skills for explaining technical issues and performance improvements to both technical and non-technical stakeholders. Passion for performance tuning, optimization, and system architecture improvements. Highly organized with the ability to manage multiple engineering priorities simultaneously. Proactive problem solver who identifies opportunities for continuous improvement in pipeline performance and stability. Commitment to writing clean, maintainable, and well-documented code. Curious and innovative mindset with interest in large-scale data processing systems. Education & Experience Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical field (or equivalent experience). 12+ years of experience in software engineering or data engineering, with significant focus on ETL or data pipeline development. Strong programming experience in heavily multi-thread Java applications (JDK17 and later preferred) Demonstrated experience designing and optimizing large-scale ETL pipelines. Proven experience improving pipeline performance through parallelization, algorithm optimization, and efficient resource usage. Experience working with large document datasets or high-volume data processing systems. Familiarity with distributed processing architectures and scalable data systems. Experience with Kubernetes is a plus. Experience diagnosing and resolving data pipeline failures, performance bottlenecks, and system scalability challenges. Experience with performance monitoring, profiling tools, and debugging complex data systems. Hiring Policy This job description may evolve over time. ISA Consulting is dedicated to diversity and inclusion, ensuring a fair workplace for all, regardless of race, color, religion, gender, national origin, age, disability, or any other protected status.(RV) #J-18808-Ljbffr ISA Consulting Group