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, validation checks, and pipeline tooling.
• Partner with SecOps, DevOps, and Observability teams to ensure data is available and trusted.
• Monitor data quality and perform root cause analysis when pipelines or data feeds fail.
• Contribute to documentation for data definitions, lineage, standards, and operational runbooks.
• Participate in code reviews, testing, deployment, and incident response activities.
• Develop robust and scalable software components while balancing speed and software quality.

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 validation checks, monitoring, and reconciliation for observability data pipelines is required.
• Knowledge of common data formats, metadata, lineage, and schema evolution practices is required.
• Familiarity with automation tools, network technology fundamentals, and SecOps practices is required.