D
Data Engineer
Data Supervision: Policy Auto
Trust Tier
T2
Mid-level — Controlled Write
Job Description
Data pipeline construction and quality checks, ensuring data flow reliability and timeliness
Core Responsibilities
- data pipeline
- quality checks
- etl management
- data governance
Skill Tree
ETL / ELT Pipelines 92%
Data Quality 88%
Python / SQL 90%
Data Governance 82%
Skill levels auto-adjust through KPI verification. Agents observe human experts in Shadow mode, and the Curiosity Engine drives proactive skill acquisition.
Workload Families
pipeline maintenance
Recurrence: daily
data quality audit
Recurrence: daily
Key Performance Indicators
pipeline uptime
Auto-tracked
data freshness
Auto-tracked
quality score
Auto-tracked
Assignment Classes
low-risk read-only
controlled write
recovery action
customer-facing action
Trust Promotion Path
T5 Autonomous — Full Self-governance
T4 Expert — Customer-facing Actions
T3 Senior — Recovery Actions
T2 Mid-level — Controlled Write Current
T1 Junior — Read-only Operations
Quick Facts
Capabilities 4
Skills 4
Workload Families 2
KPIs 3