5 часов назад
Data Engineer, ML Ops
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer, ML Ops (Python/SQL/Robotics): Architecting scalable data platforms and reliable pipelines for machine learning, robotics, experimentation, and production AI with an accent on multi-modal sensor data, data quality, and governance. Focus on modeling high-volume real-world datasets, improving pipeline observability and orchestration, and enabling teams to deploy reliable AI systems.
Location: Columbus, Ohio, United States. The role may involve access to export-controlled information and compliance with U.S. export-control regulations, including ITAR and EAR; candidates may need to meet the definition of a U.S. Person where required.
Company
develops AI-driven robotic systems that combine perception, reasoning, and control to operate reliably in real-world industrial environments.
What you will do
- Partner with software, machine learning, robotics, and analytics teams to translate data needs into well-modeled tables and data products.
- Develop and extend data models and production pipelines for experimentation, model training and validation, reporting, and business decisions.
- Model large-scale, multi-modal data, including sensor streams, application telemetry, system logs, and unstructured blob data.
- Monitor pipeline health and data quality, troubleshoot failures, and improve testing and alerting.
- Strengthen governance, lineage, documentation, and data contracts while participating in code reviews.
- Improve the data platform’s usability, performance, and tooling through clean, tested, documented Python and SQL.
Requirements
- At least 2 years of experience in data engineering or a closely related role supporting production data pipelines.
- Strong proficiency in SQL and Python.
- Hands-on experience with AWS, Snowflake, Dagster, dbt, or an equivalent modern data stack.
- Knowledge of data modeling, data warehousing, and pipeline orchestration.
- Ability to work directly with stakeholders, communicate clearly, take ownership, and contribute to an experienced team.
- Ability to comply with applicable U.S. export-control regulations and confidentiality requirements; employment may require a background check.
Nice to have
- Experience with sensor data, robotics logs, manipulation data, or other high-volume real-world datasets.
Culture & Benefits
- Daily free lunch.
- Flexible PTO.
- Medical, dental, and vision coverage.
- Six weeks of fully paid parental leave, plus an additional six to eight weeks for birthing parents.
- 401(k) retirement plan through Empower.
- Inclusive environment that values diverse ideas and unique thinking.
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