Data Engineer

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.