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21 час назад

Data Engineer (AWS, Azure, GCP)

90 000 - 200 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
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
Data Engineer (AWS, Azure, GCP): Building and maintaining cloud data pipelines and data products for client environments with an accent on data architecture, cloud resource utilization, and production database systems. Focus on designing scalable ingestion and processing solutions, advising clients on architectural trade-offs, and solving complex data engineering problems across AWS, Azure, and GCP.

Location: Denver, Colorado, USA. Employees must be available to work onsite at a client location or hirify.global office as requested; remote work is allowed when compatible with hirify.global and client needs. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Salary: $90,000–$200,000 per year

Company

hirify.global is a technology consulting firm serving Fortune 100 companies, mid-sized enterprises, and government agencies.

What you will do

  • Develop data pipelines and other data products using AWS, Microsoft Azure, or Google Cloud Platform.
  • Advise clients on technologies and methodologies for efficient cloud-based data ingestion and processing.
  • Apply engineering best practices to solve complex data problems.
  • Collaborate with end users, developers, and business analysts to maximize the value of client data.
  • Explain architectural alternatives and their advantages and disadvantages.

Requirements

  • Experience delivering solutions on a major cloud platform.
  • Experience designing and implementing data architecture solutions.
  • Production database experience, including substantial SQL expertise, database administration, and scripting data pipelines.
  • Demonstrated ability to deliver production data pipelines and other data products.
  • Ability to connect architectural recommendations with business needs and client culture.
  • Authorization to work directly for any US employer without visa sponsorship.

Nice to have

  • Experience with SQL, Python, Java, R, C#, or C/C++.
  • Experience with SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, or Oracle.
  • Experience with Git, Docker, Subversion, Kubernetes, Jenkins, Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, or EMR.
  • Relevant AWS, Azure, or Google Cloud certifications.

Culture & Benefits

  • Flexible work environment with remote options based on client and business needs.
  • Comprehensive benefits including PTO, health coverage, disability insurance, and paid family leave.
  • Certification and tuition support, digital learning, mentorship, and career development paths.
  • Mental health, fertility, family-forming, lifestyle, and financial wellness benefits.
  • Employee resource groups, philanthropic partnerships, and paid 401(k) matching with no vesting period.

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