Data Engineer IV - Legal Data

Job Responsibilities:

• Building ETL pipelines: Engineers are responsible for scheduling and querying massive tables, ensuring efficient data extraction and transformation.
• Collaborating with attorneys: Work closely with attorneys and Data Scientists to understand what data is needed, where it is located, when it is required, and which
• tables are relevant.
• Cross-functional collaboration: Collaborate with various XFN teams to launch new systems and products. Responsibilities include preparing documentation, coordinating with multiple stakeholders, developing a plan for system building, identifying collaborators, and ensuring successful execution.
• Beyond YOE, due to the technical complexity of the role, we'd ideally like to find someone who has experience working on data warehousing and building (+ leading end-to-end projects to build) high-complexity monitoring and alerting systems.
• We're a very XFN-heavy team, so someone who is very communicative, collaborative, comfortable navigating ambiguity / tenacious in finding answers, and cognizant of privacy/security would do very well in this role.
• Strong preference for someone who is based on the west coast, slight preference for someone who could occasionally come into the SF office, but that's not required.
• Tenacity and curiosity.

Skills:

• SQL.
• Python.
• Experience building ETL pipelines.
• Volunteer work or internship with a law firm or worked in privacy.
• Experience with remediating data loss.

Education/Experience:

• We're looking for someone who is senior, with at least 5-6 years of experience with SQL and python-based pipeline development (dataswarm, airflow, etc.).