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Data Engineer (Consultant)

85 000 - 105 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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
Data Engineer (Consultant) (Cloud Data Engineering/AI): Architecting and implementing enterprise data solutions for client projects across data strategy, data science, modern data architecture, visualization, and insights with an accent on cloud-based data pipelines, data wrangling, and data flow optimization. Focus on applying AWS, Azure, or GCP services, integrating Databricks or Snowflake, presenting technical concepts to clients, and solving business problems across multiple industries.

Location: Addison, Texas, United States; hybrid model with at least three days per week in person and two remote days. Consulting projects may involve travel, with some projects requiring up to 80% travel temporarily and an annual average of 10%–30%.

Salary: $85,000–$105,000 per year.

Company

hirify.global is a global consulting firm delivering transformational consulting, industry, AI, and technology solutions for customer experiences and organizational growth.

What you will do

  • Architect and implement enterprise data solutions on project-based, client-facing consulting teams.
  • Contribute to projects involving data strategy, data science, modern data architecture, data visualization, and insights.
  • Develop data pipelines, perform data wrangling, optimize data flows, and build solutions for data collection and analysis.
  • Develop and deploy cloud-based data solutions across AWS, Azure, and/or GCP.
  • Apply expertise across multiple use cases and industries to solve business problems with data.
  • Present technical concepts to business and technical client audiences and collaborate with consultants and project teams.

Requirements

  • 1+ years of hands-on experience delivering cloud enterprise solutions across multiple domains in industry or technology consulting.
  • Understanding of cloud solution architecture in one or more major cloud providers: AWS, GCP, or Azure.
  • Experience with Databricks and/or Snowflake.
  • Technical knowledge in cloud-native tooling, including relevant AWS, Azure, or GCP services.
  • Technical knowledge in cloud platform engineering, including Terraform, CloudFormation, Azure DevOps, and/or GitHub Actions.
  • Technical knowledge in cloud data engineering, cloud security engineering, cloud FinOps, and/or cloud migration advisory.
  • Ability to quickly learn and adopt new technologies, frameworks, and standards.
  • Passion for technology and keeping current with application and cloud development trends across software development disciplines and processes.
  • Ability to work collaboratively, solve challenging problems creatively, and present technical concepts to clients.

Culture & Benefits

  • Hybrid work model with flexibility to choose in-office days and working times in coordination with projects and teams.
  • Health, mental health, vision, dental, life insurance, prescription, fertility, and adoption benefits.
  • Paid parental leave, PTO, 14 paid holidays, community service days, disability benefits, and matching 401(k).
  • Inclusive environment focused on employee development, collaboration, and opportunities for increased responsibility and rewards.
  • Travel preferences are considered when assigning consulting roles, with a stated goal of minimizing travel.

Hiring process

  • Applicants must be authorized to work in the United States without current or future employment-based visa sponsorship.
  • Employment-based visa sponsorship is not available for this opportunity.

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