Engineer - Hardware Observability

What you'll do

• Build, maintain, and improve reliable data pipelines for hardware observability data.
• Develop and maintain data schemas, ETL processes, and validation checks for infrastructure telemetry.
• Partner with SecOps, DevOps, and Observability teams to ensure data is available and easy to use.
• Monitor data quality and perform root cause analysis when pipelines or data feeds fail.
• Create documentation for data definitions, lineage, standards, and operational runbooks.
• Perform code reviews to ensure software quality and functional accuracy across the team.
• Manage incident response activities and participate in deployment and change management processes.

What we're looking for

• A 4-year degree or equivalent experience is required.
• At least 1 year of experience in data engineering, observability engineering, infrastructure data, or related technical fields is required.
• Proficiency in at least one general programming language like Python or Java is required.
• Proficiency in at least one domain-specific language used for data pipeline development is required.
• Knowledge of foundational data engineering concepts including schemas, modeling, ETL/ELT patterns, and batch/streaming processing is required.
• Ability to implement data quality checks, monitoring, reconciliation, and issue investigation for observability pipelines is required.
• Familiarity with common data formats, metadata, lineage, schema evolution, automation tools, and network technology fundamentals is required.
• Knowledge of SecOps practices and emerging technologies in the scope of responsibility is required.