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19 часов назад

Software Engineer I - Data Engineering

114 400 - 137 300$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
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
Software Engineer I - Data Engineering (Python/AWS): Building and supporting cloud-based data ingestion, ETL, storage, and data lake systems for analytics, simulation, and ML training with an accent on scalable pipelines, data integrity, and distributed storage. Focus on processing massive vehicle-fleet and simulation datasets, expanding data acquisition and discovery, and maintaining reliable systems for safety-critical autonomous vehicles.

Location: Ann Arbor, Michigan, or Blacksburg, Virginia; distributed, remote-first team in the United States.

Hiring range: $114,400–$137,300 USD annually, plus potential bonus and stock options.

Company

Develops software for automated trucks and autonomous vehicle technology as part of the Daimler family.

What you will do

  • Build robust, resilient pipelines for large daily data volumes from vehicle fleets and simulation environments.
  • Develop and support AWS-based ingestion, ETL, storage, and Data Factory pipelines for analytics and ML training.
  • Scale the data lake through distributed storage, data crawling, discovery, and acquisition of internal and external datasets.
  • Implement data validation, versioning, provenance, and governance to protect data integrity.
  • Collaborate with perception, planning, control, mapping, and vehicle-testing teams on product delivery.
  • Participate in business-hour on-call support for deployed systems.

Requirements

  • BS or MS degree in Computer Engineering, Computer Science, or a related field.
  • Experience writing Python code.
  • Practical experience with Docker and containerization.
  • Experience with Linux, Bash scripting, and deploying, troubleshooting, monitoring, and maintaining Linux systems.
  • Commitment to test-driven development, continuous integration and delivery, and infrastructure as code.

Nice to have

  • Experience with cloud-based serverless solutions and AWS services such as Lambda, Batch, ECS Fargate, Glue, and Athena.
  • Experience with pandas, NumPy, Databricks, or Ray for data and ML workloads.
  • Knowledge of relational, NoSQL, vector, warehouse, clustered, and distributed data stores.
  • Experience with data storage and acquisition for robotics or advanced driver assistance systems.

Culture & Benefits

  • Collaborative, distributed, remote-first work environment with daily standups and planning sessions.
  • Healthy work-life balance and sustainable development practices.
  • 100% paid medical, dental, and vision premiums for full-time employees.
  • 401(k) plan with a 6% employer match, life insurance, and AD&D coverage.
  • Flexible schedule and generous paid vacation available immediately after the start date.

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