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обновлено 1 месяц назад

Senior Data Engineer

134 000 - 203 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US

Описание вакансии

Текст:
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TL;DR

Senior Data Engineer: Building and maintaining the software architecture and infrastructure for managing data applications with an accent on developing core technical and functional data platforms. Focus on enabling credible and collaborative problem solving to execute on a strategy.

Location: Chicago, Illinois, USA. Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment in the United States.

Salary: $134,000 — $203,000 USD

Company

hirify.global is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech.

What you will do

  • Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
  • Develop intricate data processing pipelines, addressing clients' most challenging problems.
  • Collaborate with data scientists to design scalable implementations of their models.
  • Write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
  • Develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
  • Collaborate with the team on the areas of data governance, data security and data privacy.

Requirements

  • Experience building and operating data pipelines, and maintaining data storage within distributed systems.
  • Hands-on experience of data modeling and modern data engineering tools and platforms.
  • Experience in writing clean, high-quality code using the preferred programming language.
  • Experience with data visualization techniques and can communicate the insights as per the audience.
  • Experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).
  • Experience with Python, SQL, ETL/Data Pipelines, Databricks, modern Data Warehousing/Data lakes/Delta lakes (Snowflake, Redshift, BigQuery).
  • Experience with one or more major cloud platforms (AWS, Azure or GCP) and Machine Learning/AI/Gen AI/LLM.

Culture & Benefits

  • Career is supported by interactive tools, numerous development programs and teammates who want to help you grow.
  • Equal Opportunity Employer.
  • Committed to providing reasonable accommodations to applicants with disabilities and to applicants with sincerely held religious beliefs throughout the hiring process.