Senior Data Engineer

LA Law Firm

$130K — $170K *
Legal & Accounting
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in analytics (Engineer, Analyst/Consultant with strong engineering background)
  • Proven legal experience (law firm, legal department, or technology company)
  • 2+ years managing a team
  • Hands-on expertise in Palantir Foundry (pipeline building, data modeling, deployment)
  • Advanced proficiency in SQL; competent in Python or similar programming languages
  • Experience with Salesforce
  • AI-forward with hands-on experience using Claude or similar AI tools

Responsibilities

  • Collaborate with stakeholders to develop secure and trustable data models
  • Identify and implement data-driven solutions for impactful opportunities
  • Deliver data solutions enhancing operational effectiveness for leadership
  • Design and build scalable data pipelines and analytics solutions
  • Enable access to clean, modeled data for self-service analytics
  • Monitor data quality, ensuring reliability of critical datasets
  • Diagnose and resolve development and production issues

Benefits

  • 401(k) with Employer Match
  • Health, Dental, and Vision Insurance
  • Short-Term, Long-Term Disability & Life Insurance
  • Paid Parking
  • Generous Paid Time Off
  • Employee Referral Program
  • Employee Assistance Program (EAP)
  • Employee Discount Program
Full Job Description
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, youll 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 youre 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: youd rather build an imperfect data model quickly thats 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 Were 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 lifes 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

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