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7 часов назад

Staff Data Engineer (AI)

212 500 - 255 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Staff Data Engineer (AI) (Spark/Kafka/Iceberg): Building and scaling batch, streaming, and real-time data platforms with an accent on reliable pipelines, data lake architecture, observability, and governance. Focus on designing distributed data systems, implementing PII retention and residency controls for GDPR and CCPA, and embedding data engineering quality gates into AI-assisted development workflows.

Location: Remote-first within the United States

Salary: $186,500–$255,000 USD annually, depending on geographic pay zone, experience, qualifications, and skills. Eligible for a company-wide bonus program.

Company

hirify.global is an agentic web marketing platform that helps modern marketing teams build, manage, and optimize high-performing web experiences.

What you will do

  • Design data solutions for batch, streaming, and real-time workloads.
  • Build and operate reliable data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA.
  • Evolve the data lake and data platform across ingestion, processing, storage, and serving.
  • Scale cloud data infrastructure including Kafka, Airflow, Druid, and EMR on EKS with strong reliability and observability.
  • Improve data quality, event instrumentation, schema governance, privacy, retention, deletion, and data residency.
  • Build AI agent harnesses that encode data engineering standards, pipeline patterns, and quality gates into development workflows; troubleshoot production issues and mentor engineers.

Requirements

  • BA/BS degree or equivalent experience.
  • 5+ years of experience building and operating production data pipelines and platforms.
  • Strong experience with Spark and distributed data processing.
  • Experience designing batch, real-time, and streaming solutions with Kafka, Spark Structured Streaming, and CDC.
  • Experience with data quality, observability, reliability, cloud infrastructure, CI/CD, and infrastructure-as-code.
  • Strong programming and SQL skills, plus experience leading complex data engineering initiatives end-to-end.

Nice to have

  • Experience with data governance and privacy, including PII management, retention, deletion, data residency, GDPR, or CCPA.
  • Experience with event schemas, validation, schema evolution, and instrumentation governance.
  • Experience applying AI and emerging technologies to development workflows.

Culture & Benefits

  • Equity through RSUs for permanent employees.
  • Medical, dental, and vision coverage for full-time employees and dependents, with most premiums covered.
  • Paid parental leave, flexible vacation, paid holidays, and a sabbatical program.
  • Mental health resources, therapy, coaching, and localized monthly work and wellness stipends.
  • U.S. 401(k) with 100% employer matching up to $6,000 per year and eligibility for an annual bonus program.

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