Senior Data Engineer, Data Analytics

Agility Robotics builds humanoid robots for use in human environments. The Senior Data Engineer will develop and maintain data infrastructure and curated datasets that turn robot telemetry and logs into reliable data products for analytics, debugging, fleet operations, and machine learning.

Responsibilities:

• 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
• Own the gold-layer datasets that power fleet dashboards, reliability models, and business metrics, with defined freshness SLAs, documentation, and monitoring so analytics and data science teams can rely on them
• Implement data quality checks, schema evolution, and metadata management practices using our internal Data Registry and cataloging systems
• 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

Requirements:

• 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 framework with complementary programming skills in Python, Java and/or Scala
• Experience with Airflow, Dagster, Prefect, or other data orchestration systems
• Proficiency with data formats such as Avro, Parquet, and structured/numeric datasets
• Familiarity with table formats like Icerbeg, Delta Lake etc and medallion architecture
• 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)
• Comfort working cross-functionally with software, hardware, and analytics teams in a fast-paced environment
• Applicants must have current authorization to work in the United States
• Familiarity with data versioning or immutable dataset design (e.g., Apache Iceberg, Delta Lake)
• Experience with vision data (RGB, depth, point clouds, or perception outputs) pipelines and how to process, store, and query multimodal efficiently
• Familiarity with C++ and willingness to contribute to lightweight logging or data serialization libraries
• Experience with data catalog systems and metadata management