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11 часов назад

Senior Data Engineer (Azure)

121 116 - 151 395$
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 (Azure): Designing and operating scalable real-time and batch data platforms, pipelines, data products, and intelligent APIs with an accent on cloud architecture, data quality, and large-scale data processing. Focus on building Azure-based ingestion and analytics solutions, deploying ML pipelines, and providing technical leadership through testing, CI/CD, and code reviews.

Location: Las Vegas, NV, United States

Salary: $121,116–$151,395 annually, plus eligibility for a discretionary annual bonus.

Company

hirify.global operates single-family rental communities and builds homes, providing professional leasing, property management, and maintenance services.

What you will do

  • Design, develop, and maintain real-time and batch data pipelines for large-scale data processing and analysis.
  • Build ingestion, curation, provisioning, analytical, and data product solutions for first-party and third-party data.
  • Design advanced data products, intelligent APIs, and scalable data platform architecture supporting BI, AI/ML, and data science.
  • Monitor system performance, troubleshoot issues, integrate new features, and ensure scalability, maintainability, extensibility, flexibility, and data integrity.
  • Provide technical leadership and mentorship, including peer development and code reviews.
  • Promote test-driven development and CI/CD practices across the data engineering workflow.

Requirements

  • Bachelor’s degree in computer science, information systems, data science, mathematics, engineering, or a related field; a master’s degree is preferred.
  • At least 8 years of data engineering experience with full-stack capabilities and at least 10 years of programming experience.
  • At least 5 years of experience with cloud technologies such as Azure, AWS, or Google Cloud.
  • Strong SQL and Python skills, with experience in data architecture, data modeling, data quality frameworks, and CI/CD.
  • Hands-on experience with Databricks, Apache Spark, Kafka or Event Hub, NoSQL, data warehouses, RESTful APIs, messaging systems, and BI tools such as Power BI or Tableau.
  • Experience designing Azure data solutions using services including ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, HDInsight, Databricks, Cosmos DB, and ML Studio.

Nice to have

  • Experience with machine learning and ML pipelines.
  • Experience with Agile methodologies and real-time integrations.

Culture & Benefits

  • Medical, dental, and vision insurance options.
  • Flexible spending accounts, health savings accounts, and dependent savings accounts.
  • 401(k) with company matching contributions and an employee stock purchase plan.
  • Tuition reimbursement, 9 paid holidays, and accrued paid time off.
  • Occasional evening or weekend work may be required.

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