Data Operations Engineer
Core
Transform manual data operations into reliable, automated systems for Pirical's People Analytics SaaS products serving law firms.
Role type
Mid-level Data Operations Engineer (technical leadership track)
Builds
Automated data processing pipelines, monitoring, alerting, and data quality checks for legal People Analytics
Domain
Legal industry / People Analytics / SaaS
Deliverable
production ML models
Required skills
Python, SQL, AWS, data pipeline modernization, root cause analysis, system reliability design, automation design, AI tooling usage
Preferred skills
Experience with legacy data process modernization, mentoring junior engineers, technical decision ownership
Technologies
Python, SQL, AWS, Claude (AI tooling)
Responsibilities
Maintain existing data operations and processing workflows; Automate manual data processing pipelines; Build monitoring, alerting, and data quality checks; Investigate and resolve operational data issues; Review technical work and guide junior colleagues; Design maintainable and observable automation systems
Seniority
Mid-level, hands-on IC with leadership potential