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Senior Data Engineer (AI)

140 000 - 160 000$
Формат работы
remote (Global)
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 Data Engineer (AI) (Modern Data Platforms and Streaming): Designing and shipping modern data platforms, scalable pipelines, data models, and reporting layers for business and AI consumption with an accent on secure architecture, production data systems, and client-facing delivery. Focus on implementing lakehouse and warehouse platforms, building streaming systems with Kafka or similar technologies, and translating business requirements into durable architecture decisions.

Location: United States; fully remote with primary work during Eastern Time hours

Annual salary: $140,000–$160,000 USD, plus potential bonus and equity.

Company

hirify.global is a venture-backed data and AI company building modern data platforms and systems that make business data usable.

What you will do

  • Architect and implement end-to-end modern data platforms, including lakehouse, warehouse, ELT, semantic, and orchestration layers.
  • Build scalable, secure ingestion and transformation pipelines with access controls, governance, encryption, and auditability.
  • Design durable data models for business, analytics, and AI consumption.
  • Implement and operate production streaming systems while addressing schema evolution, backpressure, and exactly-once semantics.
  • Work directly with clients to scope requirements, present architecture decisions, explain tradeoffs, and own delivery outcomes.
  • Collaborate with the CEO and a small senior engineering team on high-impact platform decisions.

Requirements

  • Significant experience building production data systems with senior-level ownership of architecture decisions.
  • Production implementation experience with Snowflake, BigQuery, or Databricks.
  • Hands-on experience building scalable data pipelines using orchestration, dbt or similar transformation frameworks, and AWS or GCP.
  • Strong understanding of data modeling approaches including Kimball, star schema, Data Vault, and OBT.
  • Production experience with streaming technologies such as Kafka, Flink, Redpanda, or similar.
  • Clear communication skills, business orientation, and the ability to present technical tradeoffs to engineering and business stakeholders.

Culture & Benefits

  • Fully remote work with close alignment to Eastern Time hours.
  • Competitive base salary with performance bonus and potential equity.
  • 401(k) plan.
  • Medical, dental, and vision coverage.
  • Unlimited paid time off.
  • Compensation tiers account for location, experience, skills, internal equity, and market conditions.

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