Senior Data Platform Engineer

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Casepoint

501 - 1000 employees

Founded 2008

💼 Consulting

⚖️ Legal

📦 Logistics

Consulting • Legal • Logistics

Casepoint is an AI-powered, cloud-based eDiscovery and legal data discovery platform that helps organizations identify, collect, preserve, and analyze legal, regulatory, and compliance-related data at enterprise scale. The platform provides legal hold, FOIA management, secure cloud collections and processing, built-in connectors and open APIs, and AI-driven review and analytics (CaseAssist) to accelerate investigations, litigation, and compliance workflows. Casepoint emphasizes military-grade security and certifications (including FedRAMP and DoD IL levels) to serve government agencies, corporations, and law firms that require defensible, secure data discovery and compliance solutions.

📋 Description

• Lead high-complexity data development initiatives • Architect resilient multi-region data systems • Drive multi-team technical projects • Serve as a financial data management and reporting expert • Build automated data acquisition tools • Develop scalable update processes • Engineer optimized data structures for financial reporting and enterprise data presentation tools • Design, build, and maintain robust data pipelines, software codebases, and automated data acquisition and update processes • Architect scalable, resilient multi-region database and data warehouse integration layers, including Oracle backends • Drive complex data infrastructure software projects from conception to completion • Refine and automate data infrastructure using modern provisioning, software design patterns, and CI/CD pipelines • Partner with finance, product, and BI teams to build reliable extraction layers and improve enterprise visualization capabilities • Mentor junior engineers and champion software engineering best practices

🎯 Requirements

• 6+ years of software engineering or advanced data engineering experience focused on building and supporting financial data platforms and pipelines • Proficiency in programming languages such as C, C++, Java, JavaScript, PHP, and Python • Expert-level skills in SQL, PL/SQL, and query optimization • Experience building fully automated data acquisition tools, extraction frameworks, and complex data update workflows interacting with enterprise databases such as Oracle • Expertise in designing high-performance data structures and semantic layers optimized for modern enterprise data presentation tools • Ability to lead complex technical initiatives independently and mentor engineering talent • Deep familiarity with financial reporting structures and automated financial data pipelines • Experience architecting zero-downtime, distributed data systems across cloud providers • Strong background in CI/CD, software testing frameworks, and proactive risk mitigation • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline

🏖️ Benefits

• Remote work eligibility • Occasional in-person collaboration opportunity • Equal Opportunity Employer

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