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6 дней назад

MarTech LiveRamp Clean Room Engineer (Habu)

100 000 - 130 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
MarTech LiveRamp Clean Room Engineer (Habu) (data engineering/adtech): Building privacy-safe clean room query logic, UDFs, identity resolution workflows, and cloud data pipelines with an accent on LiveRamp Clean Room, SQL, and regulated-data processing. Focus on authoring publisher-constrained queries, optimizing aggregate computations and match rates, and maintaining transformations across cloud platforms.

Location: Hybrid/onsite in Charlotte, North Carolina; locations listed include Columbia, Chicago, New York, and Atlanta

Base salary: $100,000–$130,000 per year

Company

hirify.global, part of Capgemini, provides technology transformation, engineering, cloud, data, and AI services for organizations worldwide.

What you will do

  • Design and author clean room question logic and user-defined functions in publisher-constrained query environments.
  • Build and maintain cloud data pipelines using GCP, AWS, or Azure.
  • Develop data transformations with Python or Spark.
  • Implement privacy-safe aggregate computation patterns, including minimum group sizes, noise budgets, and suppression rules.
  • Apply identity resolution concepts, persistent ID linkage, and match rate optimization.

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 data clean room environment.
  • Strong SQL proficiency and experience with publisher-constrained query models beyond ingestion or ETL work.
  • Experience with GCP, AWS, or Azure data pipelines and Python or Spark transformations.
  • Knowledge of data privacy regulations relevant to financial services or other regulated industries, including GLBA and CCPA.
  • Ability to work in the specified U.S. hybrid/onsite locations.

Nice to have

  • Experience with InfoSum, AWS Clean Rooms, or Google Ads Data Hub.
  • Experience with deterministic and probabilistic matching, RampID, or equivalent persistent identifiers.

Culture & Benefits

  • Permanent, regular full-time employment.
  • Paid time off, 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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