Data Engineer IV – Legal Data

SGS_JOB_2932

Engineering
Remote
SQl
Python
ETL
Legal Data
Complex Pipeline
End to End Projects

Contract - 12 Months

Surrounding Team & Key Projects – Senior engineers build tables containing legally relevant information and develop alerting systems that create tasks or send emails when issues arise (e.g., unauthorized data modifications). Types of Interviews - SQL screen, moderate complexity, no python screen. General questions about experience. (45 Minutes)

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.).

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