Overview

Department: Operations Reports To: Operations / Solutions Architecture Leadership Location: Remote United States Employment Type: Full-Time Exempt Salary range: $155,000$190,000 About the Opportunity K L McKinney is recruiting an eDiscovery Solutions Engineer on behalf of an established, technology-forward eDiscovery services provider serving sophisticated law firms, corporations, and government clients. The organization delivers full-lifecycle EDRM services with a strong focus on RelativityOne and combines advanced technology with defensible processes to solve challenging discovery and data problems. This opportunity is well suited for a highly technical eDiscovery professional who enjoys tackling problems that fall outside standard workflows and wants the autonomy to engineer new solutions. Position Overview The eDiscovery Solutions Engineer is a highly autonomous, hands-on technical role for a curious and persistent problem solver with deep RelativityOne expertise, strong data-analysis capabilities, and scripting skills. This individual will tackle complex data challenges involving abnormal, non-standard, proprietary, malformed, or otherwise difficult data. The Solutions Engineer will determine how unfamiliar data is structured and develop methods to parse, convert, normalize, analyze, review, and ultimately produce it in a defensible manner. The successful candidate will be comfortable moving between eDiscovery, data engineering, scripting, analytics, and workflow design. This is an opportunity for someone who enjoys owning difficult technical problems from initial diagnosis through delivery of a working solution. Key Responsibilities Complex Data Analysis & Problem Solving Investigate and reverse-engineer abnormal, non-standard, proprietary, or malformed data types and file formats to understand their underlying structure. Develop methods to parse, extract, transform, convert, and normalize complex or unusual data for processing, review, and production. Analyze large and messy datasets to identify relevant elements, patterns, and anomalies. Diagnose encoding problems, corruption, unusual data structures, and other technical issues and engineer practical, defensible solutions. Develop tailored approaches for data challenges that cannot be resolved through standard eDiscovery workflows. Scripting & Automation Write scripts using Python, PowerShell, or similar technologies to parse, convert, transform, and analyze complex data. Automate repetitive and high-volume data tasks. Build repeatable scripted workflows for recurring abnormal-data scenarios. Apply scripting and automation to improve data culling, quality control, reporting, processing, and review. Leverage RelativityOne APIs and platform capabilities to extend and automate workflows. Document scripts, methodologies, and technical processes to ensure solutions are repeatable, defensible, and transferable to other team members. eDiscovery Data Analysis & Execution Manage technical aspects of the eDiscovery data lifecycle across the EDRM, including processing, review setup, data culling, reporting, and production. Use RelativityOne to organize, analyze, and report on large and complex datasets while maintaining data integrity and defensibility. Apply advanced analytics, TAR, and AI-enabled workflows to improve review efficiency and outcomes. Perform quality-control checks on data, workflows, and deliverables to ensure accuracy and completeness. Troubleshoot and resolve sophisticated technical issues involving RelativityOne and other eDiscovery technologies. Independent Problem Solving & Innovation Proactively identify data challenges and opportunities to develop more effective technical approaches. Own complex problems end-to-endfrom diagnosis and solution design through scripting, testing, validation, and implementation. Serve as a senior technical resource to analysts and solutions professionals confronting difficult or ambiguous data problems. Evaluate emerging eDisco