Senior Data Engineer

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)

Requirements

Qualifications

Applications will not be considered without the required legal experience, Palantir Foundry experience, and Salesforce experience.

• 5+ years of experience in an analytics-focused role (Analytics Engineer, Data Engineer, or Analyst/Consultant with a strong engineering background)
• Required: Prior experience working within a legal environment (e.g., law firm, legal department, or legal technology company)
• Required: 2+ years of experience managing a team
• Required: Hands-on experience with Palantir Foundry — proficiency across pipeline building, ontology/data modeling, and operational deployment
• Energized by business impact and a self-starter: you’d rather build an imperfect data model quickly that’s widely used than a perfect model that goes unused
• Thrive in cross-functional projects involving both complex technical requirements and user-focused workflows
• Expert in SQL and comfortable with Python or other programming languages
• Familiarity with modern data stack tools: dbt, Looker/Tableau, and other analytics platforms
• Required: Experience with Salesforce
• Familiarity with relational database systems (e.g., MySQL, PostgreSQL, SQL Server)
• Comfortable working with strong, assertive, and sometimes difficult personalities; able to navigate challenging stakeholder relationships with professionalism and composure
• Must be AI-forward: extensive hands-on experience using Claude (or comparable AI tools) as a core part of daily workflow

Preferred Qualifications

• Demonstrated experience using data engineering practices to support generative AI applications
• Experience designing pipelines that feed high-quality, well-structured data into LLM- powered workflows
• Strong understanding of how to build and serve data models that power automated, AI- driven solutions across business functions
• Familiarity with tools and frameworks used in generative AI pipelines (e.g., vector databases, embedding generation, prompt engineering)
• Ability to work cross-functionally to identify high-impact automation opportunities using generative AI

Benefits

We’re committed to supporting the well-being and success of our team through a robust and thoughtfully designed benefits package, including:

• 401(k) with Employer Match – Plan for your future with confidence and company support.
• Health, Dental, and Vision Insurance – Comprehensive coverage to keep you and your family healthy.
• Short-Term, Long-Term Disability & Life Insurance – Financial protection for life’s unexpected events.
• Paid Parking – Convenient and covered, so you can focus on your day.
• Generous Paid Time Off – Ample time to rest, recharge, and take care of personal matters.
• Employee Referral Program – Earn rewards for introducing talented individuals to our team.
• Employee Assistance Program (EAP) – Confidential resources for personal and professional support.
• Employee Discount Program – Access to exclusive savings on a variety of products and services.
• Compensation: $130-170k