Senior Data Engineer

About the Role

Strategic Legal Practices, one of the largest litigation firms in California, is seeking a self-starting Senior Data Engineer to shape how a high-impact litigation firm leverages data. This role offers the opportunity to build scalable pipelines and analytics solutions that power decision-making across the organization. It’s a high-growth opportunity for an ambitious engineer who thrives in fast-paced environments and wants to make a direct business impact.

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 to implement solutions.
• Deliver data solutions that improve operational effectiveness and become a trusted partner to SLP leadership.
• 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

• 5+ years of experience in an analytics-focused role (Analytics Engineer, Data Engineer, or Analyst/Consultant with a strong engineering background).
• Prior experience working within a legal environment (e.g., law firm, legal department, or legal technology company).
• 2+ years of experience managing a team.
• Hands-on experience with Palantir Foundry, including pipeline building, ontology/data modeling, and operational deployment.
• Expertise in SQL and proficiency in Python or other programming languages.
• Experience with Salesforce.
• Familiarity with relational database systems (e.g., MySQL, PostgreSQL, SQL Server).
• Ability to navigate challenging stakeholder relationships with professionalism and composure.
• Extensive hands-on experience using Claude (or comparable AI tools) as a core part of daily workflow.

Qualifications

• AI-forward mindset with experience using generative AI tools and frameworks.
• Familiarity with modern data stack tools: dbt, Looker/Tableau, and other analytics platforms.

Preferred Qualifications

• Experience using data engineering practices to support generative AI applications.
• Strong understanding of building and serving data models for AI-driven solutions.
• Familiarity with tools used in generative AI pipelines (e.g., vector databases, embedding generation, prompt engineering).
• Ability to identify high-impact automation opportunities using generative AI.

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

Pay

$130-170k