Data Engineer

Strategic Legal Practices•Los Angeles, CA

6d•$145,000 - $160,000

About The Position

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.

Requirements

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

Nice To Haves

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

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)

Benefits

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.

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