Atlas Controls Reliability, Senior Data Engineer

Job description

Job responsibilities

• Relentlessly Improve Data-quality: Combine high-rate robot telemetry data, fleet-wide diagnostics, and operational metadata, into a robust pipeline for Failure Analysis.
• Software & Tooling Development: Develop automated diagnostic tools to transition the fleet from manual troubleshooting to proactive, automated health monitoring.
• Scalable Diagnostics: Maintain automated diagnostic suites, and other off-robot systems, to provide actionable feedback for hardware and software teams.
• Cross-functional Reporting: Partner with stakeholders, from all levels of the organization, to understand requirements and improve reporting mechanisms.

Job requirements

• Technical Expert: Proficient in Python and SQL, with experience building multi-source pipelines, diagnostic utilities, and automated analysis tools.
• Data Driven: You naturally reach for the data to answer questions or derive new insights. Additionally, you rigorously compare the data to the ground truth.
• Clear Communicator: You excel at translating technical "noise" into structured reports and procedures for diverse engineering and operational partners.
• Technically Fearless: You are motivated by solving ambiguous problems and building novel solutions, across the entire failure reporting and analysis pipeline.
• Bachelor’s degree in Robotics, ME/EE, Computer Science, Data Science, or a related field.
• At least one year of professional experience in robotics, hardware reliability (SRE), data engineering, or high-level technical support for electromechanical systems.
• Proven experience building and debugging complex systems, using analytics, telemetry logs, and diagnostic tools.
• Proficiency in Python and SQL for system analysis and tool development.