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Data Engineer

Data Engineer

Strategic Legal PracticesLos Angeles, CA, US
30+ days ago
Job type
  • Full-time
Job description

Job Description

Job Description

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.

Compensation & Benefits

$145,000 - $160,000 annually + benefits (healthcare, 401k, PTO, etc.)

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

  • 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
  • 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.
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    Data Engineer • Los Angeles, CA, US

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