Description

• Experienced Data Engineer to support our infrastructure work. This role would be primarily responsible for building and modifying high-complexity pipelines and alerting systems for my team in legal.
• 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.

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:

• Expert-level SQL (Presto, Postgres, MySQL, etc--any form is fine)
• Expert-level Python
• Expert-level proficiency using pipelining tools (e.g. Airflow, Dataswarm, etc)
• Experience leading DE efforts on large XFN projects with a wide variety of technical and non-technical stakeholders
• Expert-level comms
• Demonstrated experience using AI to expedite project delivery (or even better--building AI components to help automate workflows for non-technical stakeholders)
• Experience working on projects for highly-regulated industries (e.g. legal, compliance, finance, security, privacy, etc)
• Experience mentoring junior team members
• Experience working in startups / ambiguous environments with a broader scope of work
• Big-tech experience not necessary; non-traditional backgrounds are welcome

Key Skills

Education

Bachelor's degree