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12 дней назад

Staff Engineer (Data Engineering)

180 000$
Формат работы
remote (только USA)
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
Staff Engineer (Data Engineering): Designing and developing resilient enterprise data systems, integration patterns, and software components with an accent on big data, streaming pipelines, cloud technologies, and DevOps practices. Focus on defining engineering standards, leading critical-path architecture, resolving incidents, improving CI/CD, and mentoring teams across the organization.

Location: Based out of hirify.global's headquarters in Minneapolis, Minnesota, with the option to telecommute from a home office anywhere in the United States.

Salary: At least $180,000 per year.

Company

hirify.global provides financial services focused on helping people manage money and live balanced and generous lives.

What you will do

  • Translate customer needs into technical solutions aligned with enterprise platform requirements and long-term engineering strategy.
  • Design systems, software integration patterns, application specifications, standards, and architecture across a diverse engineering ecosystem.
  • Develop architecturally impactful components, frameworks, libraries, data pipelines, and resilient software solutions.
  • Lead technology strategy, roadmap development, vendor evaluations, critical incident resolution, and proactive product improvements.
  • Promote CI/CD, DevOps, reliability, scalable infrastructure, and engineering best practices across product and platform teams.
  • Provide technical leadership, mentoring, training, demos, and subject-matter expertise in data engineering.

Requirements

  • Bachelor's degree or foreign equivalent in Computer Science, Electronic Engineering, Data Science and Engineering, or a related field.
  • At least 7 years of progressively responsible post-baccalaureate experience as a data engineer, software engineer, or technology consultant.
  • At least 7 years of experience with Apache Spark or PySpark, Hadoop, and batch or streaming data pipelines.
  • Experience with Python or shell scripting, CI/CD using GitHub, GitLab, or Bamboo, Java or Scala, cloud platforms, infrastructure as code, streaming frameworks, modern data-stack tools, containers, and orchestration.
  • Demonstrable experience with ETL, SQL, Informatica PowerCenter, SQL Server, DB2, Oracle, data warehouse schemas, BI development, reporting, UAT, integration testing, and test cases.
  • Must be able to work from the United States; the role is available for telecommuting from a U.S. home office.

Culture & Benefits

  • Benefits may include medical, dental, and vision insurance; HSA; FSA; 401(k); pension; and life, disability, and supplemental protection insurance.
  • 20 days of paid time off, sick and safe time, paid company holidays, volunteer time off, and paid parental leave.
  • Additional well-being benefits, employee assistance resources, bonuses, and incentive programs may be available.
  • Work includes collaboration across product, engineering, and enterprise stakeholder groups while supporting independent technical contribution.

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