- Страна
- США
- Зарплата
- 175 000 $ – 273 000 $
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Senior Data Engineer
Исключительная вакансия в одной из самых инновационных компаний мира (гуманоидные роботы). Высокая зарплата, отличный соцпакет (100% страховка, 6% 401k match) и работа с уникальными технологиями.
Сложность вакансии
Высокая сложность обусловлена необходимостью работать на стыке софта и железа, обрабатывая специфические данные робототехники (видео, облака точек, телеметрия). Требуется глубокое знание Spark, AWS и опыт работы с высокочастотными потоками данных.
Анализ зарплаты
Предлагаемый диапазон $175k–$273k находится на верхнем уровне рынка для Senior Data Engineer в США, особенно учитывая дополнительные бонусы и опционы. Нижняя планка соответствует среднему значению для Senior-позиций в крупных тех-хабах, а верхняя значительно его превышает.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Engineer position at Agility Robotics. With over five years of experience in building production-grade data pipelines and a deep proficiency in Apache Spark and AWS, I am excited by the opportunity to bridge the gap between raw robot telemetry and actionable insights for your humanoid fleet.
In my previous roles, I have specialized in designing scalable ETL processes and managing complex data formats like Parquet and Avro. My experience working with vision data and high-frequency sensor streams aligns perfectly with Agility's mission to enhance robot reliability and performance through data-driven operations. I am particularly drawn to the challenge of optimizing data models for both analytical engines and root-cause analysis tools like Foxglove.
I am eager to bring my technical expertise in Python and distributed systems to a team that is literally shaping the future of work. Thank you for considering my application; I look forward to the possibility of discussing how my background in large-scale data infrastructure can support the growth of Agility’s humanoid operations.
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Описание вакансии
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About The Team
Agility Robotics is building the future of work through humanoid robots that operate in human environments. The Data Platform team builds the data infrastructure that powers everything from fleet operations and hardware reliability to business analytics and machine learning. We enable engineers across robotics, perception, and product teams to derive insight from the vast quantities of telemetry and log data generated by our robots in the field.
About The Role
We are looking for a Senior Data Engineer to join our Data Platform team and help shape the foundation of data-driven operations at Agility. In this role, you’ll work closely with robot software and hardware teams(among others) to design, curate, and maintain high-quality datasets that enable analytics, debugging, and fleet-scale insights.
You’ll bridge the gap between raw robot data and actionable information — working both on-robot data generation and in the cloud ingestion and processing pipelines. You’ll design transformations, author pipelines, and collaborate across teams to deliver reliable and queryable data products for hardware reliability, system health, workflow metrics, and root cause analysis.
What You’ll Do
- Collaborate with robot software and hardware teams to define, collect, and curate data needed for analytics and debugging.
- Develop and maintain ETL pipelines that transform raw robot logs and telemetry into structured datasets using Spark, Airflow (or equivalent orchestration tools), and AWS data services.
- Contribute to on-robot data production workflows to ensure high-fidelity, well-structured data capture.
- Design derived datasets and transformations across Avro, Parquet, and other sensor data formats to power fleet operations, reliability analysis, and business metrics.
- Implement data quality checks, schema evolution, and metadata management practices using our internal Data Registry and cataloging systems.
- Work closely with the ingestion and storage services that move robot data into the cloud (S3-based data lake).
- Collaborate with internal consumers — reliability, analytics, and ML teams — to design efficient data models for their workflows.
- Occasionally contribute to shared libraries or APIs in Python, Java, or C++ to support data capture and consumption.
What We’re Looking For
Required:
- 5+ years of experience as a Data Engineer or similar role building and maintaining production data pipelines.
- Strong proficiency in Apache Spark or equivalent distributed data processing frameworks.
- Experience with Airflow, Dagster, Prefect, or other data orchestration systems.
Proficiency with data formats such as Avro, Parquet, and structured/numeric datasets.
- Solid understanding of data modeling, schema evolution, and data quality best practices.
- Good intuitions of how to model datasets logically and partition them physically for optimal query performance, both for analytical query engines and for playback or root-cause-analysis(e.g. ReRun, Foxglove etc)
- Strong programming skills in Python, Java and/or Scala.
- Experience with AWS data stack (S3, Glue, Athena, EMR, etc.) or similar cloud infrastructure.
- Experience working with vision data pipelines(e.g. Images, video, depth) and building derived datasets from them.
- Comfort working cross-functionally with software, hardware, and analytics teams in a fast-paced environment
Nice to Have:
- Experience with robotics vision data (RGB, depth, point clouds, or perception outputs) and how to process, store, and query them efficiently.
- Familiarity with C++ and willingness to contribute to lightweight logging or data serialization libraries.
- Exposure to large-scale robotics data, including high-frequency and high-fidelity sensor, telemetry and vision streams.
- Experience with data catalog systems and metadata management.
- Familiarity with data versioning or immutable dataset design (e.g., Apache Iceberg, Delta Lake)
Why You’ll Love Working Here
- Join a small, high-impact team building the data foundation for humanoid robotics.
- Work at the intersection of physical systems and large-scale data infrastructure.
- Collaborate with talented roboticists, software engineers, and data scientists shaping the future of automation
This is a hybrid role based out of our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Salary Range
$175,000—$273,000 USD
*In addition to base pay, our competitive total rewards package consists of the following for full-time employees:*
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
+ Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
+ Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Apply Now: https://grnh.se/b444bbd04us
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Навыки
- Apache Spark
- Apache Airflow
- Python
- Java
- Scala
- AWS
- Amazon S3
- AWS Glue
- Amazon Athena
- Amazon EMR
- Avro
- Parquet
- Apache Iceberg
- Delta Lake
- C++
- Data Modeling
- ETL
Возможные вопросы на собеседовании
Проверка опыта работы с форматами, критичными для робототехники и эффективного хранения.
Как бы вы спроектировали схему хранения для высокочастотных данных телеметрии робота, чтобы обеспечить баланс между скоростью записи и эффективностью аналитических запросов?
Оценка навыков работы с распределенными вычислениями, указанными в требованиях.
Опишите ваш опыт оптимизации Spark-джобов при обработке терабайтных объемов данных. Какие стратегии партиционирования вы использовали?
Проверка умения работать с визуальными данными, что является ключевым для этой роли.
С какими сложностями вы сталкивались при построении пайплайнов для обработки видеоданных или облаков точек (point clouds)?
Оценка навыков обеспечения надежности данных.
Как вы организуете мониторинг качества данных и обработку изменений схем (schema evolution) в долгоживущих проектах?
Проверка способности взаимодействовать с инженерами разных профилей.
Расскажите о случае, когда вам приходилось тесно сотрудничать с аппаратными инженерами для определения спецификаций собираемых данных. Как вы разрешали конфликты требований?
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- Страна
- США
- Зарплата
- 175 000 $ – 273 000 $