Operations Data Engineering Analyst
Birmingham, AL, United States45m ago
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Key details
- Location
- Birmingham, AL, United States
- Work style
- Onsite
- Level
- Mid level
- Job type
- Full-time
- Experience
- 2–3 yrs
- Function
- Data & ML
- Focus area
- Data engineering & Analytics
- Posted
- 45m ago
Skills
About the role
OPERATIONS DATA ENGINEERING ANALYST
JOB SUMMARY
This position will function as part of the Southern Power Monitoring & Diagnostics (M&D) Center, which
provides remote monitoring and diagnostic support to the SPC fleet of gas, solar, wind, and energy storage assets.
The Operations Data Engineering Analyst supports both operational data infrastructure and AI/ML data readiness. The role assists the PI System Administrator with daily operation, maintenance, and expansion/migration of SPC’s AVEVA PI and AspenTech IP.21 historian environments, including tag
management, Asset Framework (AF) configuration, analytics deployment, PI Vision development, data quality monitoring, and proactive remediation. The role also extracts, transforms, curates, and delivers clean,
structured datasets from PI and IP.21 into downstream data engineering platforms such as Databricks to support M&D’s growing AI and machine learning portfolio, including iSight anomaly detection, predictive analytics models, and AI agents.
In short, this role owns the data journey from raw sensor ingestion in PI through curated, AI-ready datasets
— ensuring the M&D team always has trusted, high-quality, well-engineered data to power both real-time monitoring and advanced analytics.
This position will closely interface with the Aveva PI/ AspenTech IP.21 System Administrator, M&D Analysts, AI/ML Analysts, Renewable Performance Engineers, Renewable, Gas, and Commercial Operations, the SPC Technology Organization, SCADA teams, and plant personnel.
MAJOR JOB RESPONSIBILITIES
PI/IP.21 System Support
Tag Management — Support the PI/IP.21 Administrator in the creation, modification, scaling, and
decommissioning of PI/IP.21 tags across gas, solar, wind, and energy storage assets. Ensure tag naming conventions, point types, and compression settings are consistent with fleet-wide standards.
Asset Framework (AF) Configuration — Create, modify, and delete AF elements, attributes, templates, and hierarchies to reflect fleet changes (new sites, equipment swaps, decommissions). Maintain AF structure integrity across all OEMs (solar inverters, wind turbines, gas turbines, batteries, and BOP equipment).
AF Analytics Deployment — Develop, test, and deploy PI AF Analytics (calculated attributes, rollup expressions, event frames) in test and production environments. Validate analytic outputs against expected results prior to production deployment.
Data Quality Monitoring & Proactive Remediation — Continuously monitor d