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17 часов назад

Senior Data Engineer (Databricks & Cloud Analytics)

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
Senior Data Engineer (Databricks & Cloud Analytics) (Databricks/cloud analytics): Design and support enterprise data platforms, scalable data pipelines, and cloud analytics solutions with an accent on Databricks, Apache Spark, Azure, SQL optimization, and event streaming. Focus on implementing Databricks ecosystem components, building ETL/ELT processes, integrating Kafka and REST APIs, and mentoring data engineering teams.

Location: Salt Lake City, Utah; hybrid work with onsite and remote components

Company

hirify.global delivers outsourced services and workforce solutions across North America, helping clients implement efficient technical and operational initiatives.

What you will do

  • Design, develop, and support enterprise data platforms, cloud analytics solutions, and large-scale data engineering initiatives.
  • Build scalable data pipelines and analytics solutions using Databricks, Apache Spark, Python, SQL, and Scala.
  • Implement and manage Databricks Workspaces, Delta Lake, Unity Catalog, Delta Live Tables, Databricks SQL, MLflow, and Databricks Jobs.
  • Design ETL/ELT processes with Azure Data Factory and optimize SQL query performance.
  • Integrate Kafka-based event streaming, REST APIs, web services, and Azure Data Lake Storage.
  • Collaborate in Agile teams, use Git and Linux tooling, and provide technical mentoring.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
  • At least 6 years of experience designing and supporting enterprise data platforms or cloud data solutions.
  • Extensive hands-on experience with Databricks, Apache Spark, Python, SQL, and Scala.
  • Experience with SQL optimization, ETL/ELT design, Azure Data Factory, Kafka or similar streaming systems, and cloud data storage.
  • Proficiency with Git, Linux environments, scripting, analytical troubleshooting, and Agile methodologies.
  • Ability to prioritize multiple tasks independently and mentor team members.

Nice to have

  • Infrastructure as Code experience with Terraform.
  • Experience with CI/CD pipelines using Azure DevOps or GitHub Actions.

Culture & Benefits

  • Hybrid work model combining onsite and remote work.
  • Participation in Agile teams using Scrum, Kanban, or SAFe.
  • Eligible employees may receive medical, dental, vision, spending account, life insurance, and voluntary plan options.
  • Eligible employees may participate in a 401(k) plan.

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