Job Opportunities API

About Strategic Legal Practices Based in Los Angeles, Strategic Legal Practices is one of the largest litigation firms within California, representing clients in a range of consumer protection and civil litigation matters. Our Firm measures our success by how well our clients do. We are armed with a group of experienced attorneys, led by one of the most successful Lemon Law and Consumer Fraud litigators in California. The best predictor of performance is our record of achievement. We are proud to have successfully helped thousands of clients in their pursuit against car manufacturers. Our success rate is unmatched by any other Firm. Strategic Legal Practices is seeking a self-starting Senior Data Engineer to help shape how a high- impact litigation firm leverages data. In this role, you’ll take ownership of building scalable pipelines and analytics solutions that power decision-making across the organization. This is a high-growth opportunity for an ambitious engineer who thrives in fast-paced environments and wants to make a direct business impact. Whether you're coming from a high-growth startup or a large organization and looking for more autonomy, this role offers the chance to lead meaningful data projects from day one. Our ideal candidate is passionate about solving real-world problems with data, communicates clearly, and enjoys building creative, production-ready solutions that drive the business forward. Responsibilities include, but are not limited to: Collaborate with stakeholders to gather requirements and develop secure, timely, accurate, trusted, and extensible data models Seek out opportunities where data can drive impact, and proactively work with teams across the organization to make those solutions a reality Become a trusted partner to SLP leadership by delivering data solutions that improve operational effectiveness Design and build scalable, maintainable data pipelines and analytic solutions across various business domains Support self-service analytics by enabling access to clean, modeled data for analysts and business users Monitor data quality and availability, implementing processes to ensure reliability of critical datasets Diagnose and resolve issues in development, staging, and production environments Provide operational support, including issue investigation, incident response, and remediation Maintain and extend existing platform management tooling and codebases (e.g., Python, Java, SQL, Ansible, CloudFormation)