Data Engineer

Job Description

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 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:

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)

Qualifications:

3+ years of experience in an analytics-focused role (Analytics Engineer, Data Engineer, or Analyst/Consultant with a strong engineering background)

Required: Hands-on experience with Palantir Foundry — strong proficiency expected 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, Redshift, Looker/Tableau, and other analytics platforms

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

Preferred Education and Experience:

B.S. degree in computer science, mathematics, statistics, or a similar quantitative field

3+ years of related experience required;

Deep knowledge in various ETL/ELT tools and concepts, data modeling, SQL, query performance optimization;

Technical expertise with data models, data mining, and segmentation techniques

Knowledge of cloud big data services and technologies

More advanced ML algorithms such as Bayesian & Hierarchical Modelling and Markov Chain Monte Carlo (MCMC) is desirable

Python libraries such as Scikit-Learn and PyStan

Version control software such as Git

Experience with Microsoft Azure and/or AWS

Command line tools such as Bash

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.Company Description

At Strategic Legal Practices, we put people first—our lawyers, legal professionals, and clients. We empower our lawyers and legal professionals with the knowledge, mentorship, and resources they need, and we encourage everyone to pursue a path that allows them to feel fulfilled. If you stay at Strategic Legal Practices, your career will grow, and you will have the opportunities you desire.

Strategic Legal Practices, APC does not discriminate against applicants or employees on the basis of race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local laws.

Full-time