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13 дней назад

Sr Data Engineer (AWS)

144 100 - 193 200$
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
Sr Data Engineer (AWS): Building scalable data warehouses and ELT pipelines for Content Performance, Content Engagement, Cast, and Operations data with an accent on AWS, Snowflake, SQL, and dimensional modeling. Focus on designing medallion-structured data assets, tuning large-scale queries, maintaining reliable pipelines, and meeting operational SLAs.

Location: Anaheim, California, United States

Salary: $144,100–$193,200 per year, plus potential bonus, long-term incentives, and benefits.

Company

Disney Experiences Tech & Digital creates digital and physical guest experiences for Disney parks, resorts, cruise lines, vacation clubs, attractions, food and beverage, transportation, and merchandise.

What you will do

  • Design and grow data products and data warehouses for Content Performance and Content Engagement data.
  • Develop scalable data warehousing solutions and ELT pipelines across cloud, on-premise, and hybrid environments.
  • Use AWS, Snowflake, DBT, Automic UC4, and Airflow to transform, store, retrieve, and distribute Cast and Operations data.
  • Architect data frameworks and define data assets using dimensional modeling and medallion structures.
  • Collaborate with Data Product Managers, Data Architects, and Data Engineers to deliver data solutions.
  • Maintain documentation, data quality, governance, operational efficiency, and SLA compliance while supporting agile and Scrum practices.

Requirements

  • 5+ years of data engineering experience developing large data pipelines.
  • Strong SQL and expert-level SQL/T-SQL skills, including query development and tuning.
  • Hands-on experience with AWS services such as Lambda, Kinesis, DMS, AppFlow, and EventBridge.
  • Experience with at least one major MPP or cloud database, including Snowflake, Redshift, or BigQuery.
  • Experience with Airflow, data integration, data pipeline maintenance, data modeling, and data warehousing methodologies.
  • Bachelor’s degree in a relevant technical field or equivalent work experience; agile and Scrum experience is required.

Nice to have

  • Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field.

Culture & Benefits

  • Work within an experienced Data Products & Platforms engineering group.
  • Support customers across Data Science, Data Analytics, and Business teams.
  • Medical, financial, and other benefits may be provided.
  • Potential bonus and long-term incentive units may be included in the compensation package.

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