Data Engineer
Description For Data Engineer
Strategic Legal Practices (SLP) is seeking a talented Software Data Engineer to drive innovation at the intersection of law and technology. This role offers a unique opportunity to shape how a forward-thinking law firm leverages data to enhance legal operations, client service, and strategic decision-making. The position requires expertise in building data pipelines, working with Palantir platforms (particularly Foundry), and implementing data integration solutions.
The ideal candidate will have 3+ years of experience and strong proficiency in Python, SQL, and cloud environments (AWS/Azure). They will be responsible for designing and implementing scalable data infrastructure, ensuring data quality, and partnering with stakeholders to deliver insights. The role combines technical expertise with business acumen, requiring excellent communication skills to work with both technical teams and executives.
Key technical requirements include experience with ETL/ELT tools, data modeling, machine learning frameworks (Scikit-learn, PyStan), and version control systems. The position offers comprehensive benefits including health insurance, 401(k) with employer match, and various support programs. This is an in-person role based in Los Angeles, perfect for a data engineer looking to make an impact in the legal technology space while working with cutting-edge data infrastructure tools.
Responsibilities For Data Engineer
- Design and implement robust, scalable data pipelines and integrations using modern tooling and APIs
- Partner with analysts and business stakeholders to deliver self-service data solutions and insights
- Own key data engineering projects across the firm, driving architecture and execution from inception to delivery
- Ensure data quality, monitoring, governance, and platform reliability across environments
- Support and maintain existing infrastructure using Python, Java, SQL, Ansible, and cloud orchestration tools
- Diagnose issues, perform root-cause analyses, and implement preventative solutions
Requirements For Data Engineer
- B.S. degree in computer science, mathematics, statistics, or similar quantitative field
- 3+ years of related experience
- Experience with Palantir platforms (e.g., Foundry)
- Strong background in data integration and building pipelines
- Proficiency in Python and strong command of SQL and data modeling concepts
- Experience with cloud environments such as AWS and/or Microsoft Azure
- Experience with machine learning frameworks like Scikit-learn and PyStan
- Version control software such as Git
- Command line tools such as Bash
Benefits For Data Engineer
- 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
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