Назад
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5 часов назад

Senior Data Engineer (AI)

119 700 - 199 300$
Формат работы
onsite
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

Текст:
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TL;DR
Senior Data Engineer (AI): Building scalable data solutions and pipelines for Generative AI, personalization, recommendation systems, revenue science, and advertising infrastructure with an accent on Python, Spark, Flink, AWS, and event-driven architecture. Focus on designing large-scale data platforms, deploying reliable cloud applications, mentoring engineers, and solving complex performance, security, and scalability challenges.

Location: DC-Washington-TWP Headquarters; on-site five days a week

Salary: $119,700–$199,300 annual, with possible bonus or incentive eligibility.

Company

hirify.global is a news media organization developing digital storytelling, audience products, advertising technologies, and AI-powered experiences.

What you will do

  • Lead data engineering efforts for scalable, secure, and reliable data pipelines using Python, Spark, Flink, and related processing technologies.
  • Design and deploy data solutions supporting Generative AI, personalization, recommendation systems, revenue science, advertising insights, and campaign infrastructure.
  • Gather requirements, define technical solutions, write maintainable code, and deliver tested software through code reviews and CI/CD practices.
  • Collaborate with data scientists, product managers, designers, newsroom stakeholders, and business teams on large-scale projects.
  • Mentor junior engineers, review code, share technical knowledge, and influence engineering practices.
  • Monitor performance, troubleshoot issues, manage delivery risks, and improve system security, scalability, and reliability.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience; a Master’s degree is preferred.
  • 3+ years of experience with ETL/ELT, data modeling, SQL, and querying or analyzing large datasets.
  • Extensive experience with Python, PySpark, AWS data lakehouse technologies, and services including Redshift, Athena, EMR, and Glue Catalog.
  • Experience with Pub/Sub, event-driven architecture, Apache Airflow DAGs, cloud infrastructure, and scalable application deployment.
  • Experience with software development best practices, testing, CI/CD, Docker, performance monitoring, and observability tools.
  • Ability to mentor engineers, communicate with technical and non-technical stakeholders, troubleshoot across the stack, and make decisions with limited supervision.

Nice to have

  • Experience with Apache Iceberg, Postgres, MySQL, DynamoDB, Tableau, or Superset.
  • Experience with Google Ad Manager data and advertising technology vendors.
  • Strong skills with Docker and ECS.
  • Master’s degree in a related field.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Company-paid pension and 401(k) match.
  • Three weeks of vacation, up to three weeks of paid sick leave, nine paid holidays, and two personal days.
  • Twenty weeks of paid parental leave, mental health resources, backup care, and caregiver concierge services.
  • Gender-affirming services, pet insurance, and a free Post digital subscription.
  • Leadership and career development programs.

Hiring process

  • Bonus and incentive payment terms are discussed during the interview process.

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