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10 часов назад

Senior Software Engineer (Data Engineering)

121 400 - 218 600$
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

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TL;DR
Senior Software Engineer (Data Engineering): Building and operating high-volume batch and streaming pipelines that transform cloud usage from compute, GPU, storage, networking, and AI inference services into accurate, auditable billing data with an accent on metering, data lakehouse design, and production reliability. Focus on orchestrating Spark or Flink workflows, reconciling billed units to source usage, and supporting finance-grade audit trails.

Location: United States (Remote); listed office location: Cambridge, Massachusetts, US.

Base salary for US-based candidates: $121,400–$218,600 per year. Additional incentive compensation, equity awards, and ESPP may be available.

Company

hirify.global provides distributed cloud, edge, content delivery, cybersecurity, and AI infrastructure for digital experiences.

What you will do

  • Design, build, and operate high-volume batch and streaming pipelines ingesting usage events from hirify.global Cloud compute services.
  • Develop metering and rating logic for instance hours, GPU hours, data transfer, storage, and inference tokens using rate cards and contract terms.
  • Develop and maintain a data lakehouse on object storage as the source of truth for usage and billing data.
  • Orchestrate Airflow workflows, including backfills, late-arriving data, retries, and SLA monitoring.
  • Write, package, and deploy production Python and Spark or Flink jobs with Docker.
  • Build reconciliation and data-quality checks, maintain audit trails, review code, and improve engineering standards.

Requirements

  • 6+ years of software or data engineering experience and a Bachelor's degree in Computer Science or a related field, or equivalent experience.
  • Strong programming skills in Python; experience with Java or Scala is expected as an ideal qualification.
  • Hands-on experience building large-scale pipelines with Apache Spark or Apache Flink.
  • Production experience orchestrating pipelines with Apache Airflow.
  • Deep SQL experience, including complex joins, window functions, query tuning, and analytics data modeling.
  • Experience building or operating a data lakehouse, such as Delta Lake, Apache Iceberg, or Apache Hudi on object storage.
  • Experience with at least one public cloud: AWS, GCP, or Azure.

Culture & Benefits

  • Remote work in the United States under the FlexBase program, with flexibility to work from home, an office, or a combination.
  • Healthcare, 401(k) savings plan, company holidays, PTO, sick time, parental leave, and an employee assistance program focused on mental and financial wellness; eligibility requirements apply.
  • Potential annual bonuses or other incentives, equity awards, and an Employee Stock Purchase Plan.

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