Data Analytics & Engineering - Data Engineer III

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.

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.

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 Sourcing Notes from CWAM:
Communication Skills
- Strong communication skills are essential. Candidates should demonstrate the ability to keep communications concise and to the point — avoid overly verbose or heavily jargon-laden resumes.
Background Preferences
- No consulting backgrounds: Not interested in candidates from management consulting or traditional consulting firms.
- 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.
- Big tech not preferred: Does not prioritize candidates from large tech companies — open to (and may prefer) candidates from startups, small-to-mid-size companies, or non-tech industries.
Tenure & Stability
- Strongly prefer long-term roles: Candidates should have 2+ years of tenure at each position. Avoid job-hoppers or candidates with a pattern of short engagements.


Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”