Назад
Company hidden
9 дней назад

Software Engineer (Data Engineering)

117 500 - 172 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Software Engineer (Data Engineering): Building high-volume data models, pipelines, data products, and warehouse architectures for reporting, analytics, marketing optimization, and financial reporting with an accent on performance, reliability, and data quality. Focus on designing distributed data infrastructure, improving ETL scalability, implementing monitoring and QA, and supporting data products across engineering and business teams.

Location: Must be located near an engineering hub in San Francisco, Sunnyvale, or Seattle, United States

Salary: $117,500–$172,800 USD annually, plus potential equity grants

Company

hirify.global operates a technology platform supported by data infrastructure for business reporting, product analytics, marketing optimization, and financial reporting.

What you will do

  • Work with business stakeholders, engineering teams, product teams, and third parties to define and collect data requirements.
  • Design and implement large-scale, high-volume data models and pipelines for data lakes and data warehouses.
  • Develop data quality checks, QA processes, monitoring routines, and reliable ETL workflows.
  • Manage data products that provide high-quality and trustworthy information.
  • Improve the reliability and scalability of data infrastructure, automation, and engineering tools.
  • Support onboarding and development of other engineers.

Requirements

  • 3+ years of professional experience in data engineering, business intelligence, or a similar role.
  • Proficiency in Python or Java and experience using AI coding tools throughout the software development lifecycle.
  • 3+ years of experience with ETL orchestration and workflow tools such as Airflow, Flink, Oozie, or Azkaban, using AWS or GCP.
  • Strong knowledge of databases, SQL, distributed computing, and distributed data ecosystems such as Spark, Hive, Druid, or Presto.
  • Experience with streaming technologies such as Kafka or Flink and database platforms including Snowflake, Redshift, or PostgreSQL.
  • Must be located near one of the listed engineering hubs.

Nice to have

  • Knowledge of reporting tools such as Tableau, Superset, or Looker.
  • Experience analyzing and interpreting market and consumer information.

Culture & Benefits

  • Benefits are available to regular employees, including medical, dental, and vision coverage.
  • 401(k) plan with employer matching, paid parental leave, paid time off, and paid sick leave.
  • Wellness, commuter, mental health, disability, life insurance, and family-forming benefits.
  • Salaried roles include flexible paid time off and 80 hours of paid sick time per year.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →