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2 дня назад

Data Engineer Intern

5Β 500 - 9Β 500$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
parttime
Π“Ρ€Π΅ΠΉΠ΄
trainee
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
РСлокация
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR

Data Engineer Intern (Data Science/ML): Develop and maintain data pipelines, ETL processes, and data platforms to support autonomous vehicle software and company-wide analytics with an accent on big data technologies and cloud infrastructure. Focus on building scalable data processing systems, visualization dashboards, and enabling efficient data access for data scientists and engineers.

Location: Foster City, California, USA with hybrid work format

Salary: $5,500–$9,500 per month

Company

hirify.global is a product company focused on autonomous vehicle technology and software development.

What you will do

  • Build and maintain data pipelines and ETL processes for autonomous vehicle logs and company analytics.
  • Develop data platforms for metrics computation using tools like Databricks, Spark, and Ray.
  • Create visualization dashboards with Looker, Grafana, and Databricks.
  • Support data scientists and engineers by enabling efficient access to large-scale autonomous driving data.
  • Design and build data models for key business domains such as autonomy, riders, fleet, and simulation.

Requirements

  • Must be currently enrolled in a relevant engineering degree program and returning to school after internship.
  • Ability to relocate to the Bay Area, California for the internship duration.
  • Good academic standing and at least one previous relevant internship or project experience.
  • Commitment to a 12-week internship starting May or June 2026.
  • Interns must not use proprietary information for external academic work.

Nice to have

  • Experience with big data technologies such as Spark, Databricks, and Airflow.
  • Knowledge of cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
  • Familiarity with streaming data processing and large-scale streaming platforms like Kafka or Kinesis.
  • Understanding of ML infrastructure, feature stores, and data quality monitoring tools.
  • Experience with autonomous vehicle or sensor data processing.

Culture & Benefits

  • Medical insurance and housing stipend available.
  • Relocation assistance offered based on eligibility.
  • Mentorship from industry experts and hands-on experience with state-of-the-art technology.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли вас просят Π²ΠΎΠΉΡ‚ΠΈ Π² iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’