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Data Engineer

Summary:

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.

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.

 

Minimum Requirements:

  • 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

 

Preferred Requirements:

  • 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

 

Additional Notes:

  • Communication Skills: Strong communication skills are essential. Candidates should demonstrate the ability to keep communications concise and to the point.
  • Background Preferences: Startup / self-employed experience is a plus: Values candidates with startup experience or who have owned/operated their own business—shows initiative, scrappiness, and ability to wear multiple hats. Open to candidates from startups, small-to-mid-size companies, or non-tech industries.
  • Tenure & Stability: Strongly prefer long-term roles.

 

Required Years of Experience: 4+ Years