обновлено 2 дня назад
Senior Data Engineer (AI)
140 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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