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1 день назад

Staff Data Engineer

140 500 - 249 700$
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

Текст:
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TL;DR
Staff Data Engineer (Data Platforms): Architecting and scaling robust data pipelines, models, and platforms with an accent on dbt, Snowflake, Airflow, Fivetran, data quality, and observability. Focus on designing highly available data systems, integrating modern data engineering practices, mentoring engineers, and resolving high-priority incidents through on-call support.

Location: Hybrid, with remote work and onsite work at offices in Mountain View, Sherman Oaks, or Austin, United States. Occasional travel may be required.

Salary: $140,500–$249,700 annually, plus potential bonuses, incentive compensation, and restricted stock units.

Company

hirify.global provides online legal services by combining technology, attorney-led solutions, and legal expertise.

What you will do

  • Architect, build, and maintain scalable, reliable, and well-tested data pipelines and ETL processes using dbt, Snowflake, Airflow, and Fivetran.
  • Design new data models that support business needs while ensuring availability, performance, and extensibility.
  • Lead the adoption of CI/CD, data quality, observability, and other modern data engineering practices.
  • Partner with Data Science, Engineering, Product, and other stakeholders to define requirements and deliver aligned data solutions.
  • Mentor data engineers and data scientists, participate in code reviews and architecture discussions, and guide technical decisions.
  • Participate in an on-call rotation and stay current with emerging data engineering technologies.

Requirements

  • 7+ years of experience in data engineering or a related field, including complex data systems at scale.
  • Expert-level SQL skills and deep experience with data modeling and transformation.
  • Hands-on experience with dbt, Airflow, Fivetran, including custom connector development, and Python.
  • Experience with cloud data warehouses such as Snowflake, Redshift, or BigQuery and modern data stack tools.
  • Strong knowledge of ETL/ELT, data quality, data governance, and highly available, scalable system architecture.
  • Strong communication, collaboration, problem-solving, mentoring, and technical leadership skills; remote employees must have adequate internet bandwidth for work processes.

Culture & Benefits

  • Collaborative, diverse, and distributed working environment.
  • Human-in-the-loop operating model integrating AI with human judgment.
  • Medical, dental, and vision insurance.
  • 401(k) with matching contributions, paid time off, HSA, and FSA.
  • Short- and long-term disability insurance plus fertility, mental health, and One Medical benefits.

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