Atlas Controls Reliability, Senior Data Engineer

What you'll do

• Combine robot telemetry, fleet diagnostics, and operational metadata into failure-analysis pipelines.
• Develop and maintain automated diagnostic tools and suites for proactive health monitoring.
• Partner with stakeholders to improve reporting and provide actionable feedback to hardware and software teams.

What they ask for

• 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; experience with data warehousing and visualization tools such as Snowflake and Looker; familiarity with C++ in real-time embedded systems or robotics.

Nice to have

• Experience with Jira and Jira Automation; Bazel, Google Test infrastructure, Google Cloud Platform, or Apache Airflow.
• Understanding of controls theory, electric motors, and embedded systems or lab work with complex hardware; professional or project-based reinforcement learning or training-dataset experience.

Pay

$100,000 to $140,000 annually (base salary)

Tools

Python, SQL, Snowflake, Looker, C++, Jira, Jira Automation, Bazel

AI focus

Preferred experience includes reinforcement learning or working with training datasets for supervised or unsupervised learning.