обновлено 1 час назад
MarTech LiveRamp Clean Room Engineer (Habu)
100 000 - 130 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
MarTech LiveRamp Clean Room Engineer (Habu) (LiveRamp Clean Room, Habu): Building privacy-safe clean room query logic, UDFs, identity resolution workflows, and cloud data pipelines with an accent on SQL, aggregate computation controls, and persistent ID linkage. Focus on authoring publisher-constrained queries, optimizing match rates, and maintaining compliant data transformations for regulated industries.
Location: Onsite/hybrid in Charlotte, NC, United States; other listed locations include Columbia, Chicago, New York, and Atlanta.
Base compensation: $100,000–$130,000 annually, plus potential variable incentives, bonuses, or commissions.
Company
is a global business and technology transformation partner delivering strategy, design, engineering, cloud, data, and AI services.
What you will do
- Author clean room question logic and user-defined functions within publisher-constrained query models.
- Implement privacy-safe aggregate computations using group-by minimums, noise budgets, and suppression rules.
- Build and maintain cloud data pipelines across GCP, AWS, or Azure.
- Develop data transformations with Python or Spark.
- Apply identity resolution techniques, including deterministic and probabilistic matching and persistent ID linkage.
- Optimize identity match rates while supporting privacy requirements in regulated industries.
Requirements
- 5–7 years of professional experience in data engineering, marketing technology, or identity infrastructure.
- 2+ years of hands-on experience with LiveRamp Clean Room (Habu) or a comparable clean room environment.
- Strong SQL proficiency and experience with privacy-safe aggregate computation patterns.
- Experience with identity resolution, RampID or equivalent persistent ID linkage, and match rate optimization.
- Experience building cloud data pipelines and using Python or Spark for transformation work.
- Working knowledge of GLBA, CCPA, and equivalent state-level privacy regulations.
Nice to have
- Experience with InfoSum, AWS Clean Rooms, or Google Ads Data Hub.
Culture & Benefits
- Collaborative environment with colleagues around the world.
- Paid vacation of 12–25 days depending on employee grade, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage.
- Retirement savings plans, including 401(k) in the U.S.
- Life and disability insurance and employee assistance programs.
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