Operations Data Engineering Analyst
Southern Company6 days ago
Birmingham, AL, USAMid Level
Responsibilities
- Support tag management, Asset Framework configuration, analytics deployment, PI Vision development, and site onboarding across AVEVA PI and AspenTech IP.21 environments.
- Monitor and remediate stale tags, flatlined signals, bad values, communication failures, scaling errors, missing data, archive gaps, and other data-quality issues.
- Build and maintain data curation pipelines that clean, validate, deduplicate, timestamp-align, and document operational datasets for AI/ML training and inference.
- Partner with AI/ML analysts to define model inputs, features, labels, frequency requirements, quality thresholds, and dataset validation criteria.
- Monitor pipeline health, failures, latency, data-quality degradation, reliability, efficiency, and scalability.
- Provide data-query support using PI DataLink, IP.21 Excel Connector, Python, SQL, PI Web API, and PI Connect.
- Maintain documentation for PI configurations, AF structures, tag inventories, pipeline architectures, dataset catalogs, and operating procedures.
- Collaborate with PI administrators, AI/ML analysts, M&D analysts, performance engineers, operations, SCADA teams, technology developers, and plant personnel.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Data Science, or a related technical field is required.
- Master’s degree in a relevant engineering, computer science, data science, or related technical field is preferred.
- 2–3 years of hands-on AVEVA PI System experience, including PI Data Archive, PI Asset Framework, PI Vision, and PI Interfaces or Connectors, is required.
- Proficiency in Python for data extraction, transformation, pipeline development, and automation, including Pandas, NumPy, web API calls, and scripting.
- Proficiency in SQL for querying, integration, and manipulation across relational databases and data platforms.
- Familiarity with Databricks, Apache Spark, or equivalent data engineering platforms, including ETL/ELT pipelines, Delta Lake, and feature store concepts.
- Experience with operational or industrial data-quality monitoring, validation, remediation, and surrogation.
- Working knowledge of PI DataLink, PI Web API, and PI Connect is preferred.
- Experience with PI AF Analytics, calculated attributes, event frames, and notifications is preferred.
- Foundational understanding of ML deployment pipelines, feature engineering, data labeling, model-training data requirements, and inference data delivery is preferred.
- Experience with Power BI, Tableau, or similar BI tools is preferred.
- Power generation, renewables, utilities operations, AspenTech IP.21, dataPARC, eDNA, SCADA systems, communications protocols, or AVEVA/OSIsoft PI accreditation are preferred.
Tech Stack
Categories
Data Engineering
About Southern Company
Southern Company is an investor-owned utility holding company headquartered in Atlanta and traded on the NYSE (SO). Through subsidiaries it provides electric service in Alabama, Georgia, and Mississippi and natural gas distribution in Georgia, Illinois, Tennessee, and Virginia, serving about 9 million customers. Its portfolio spans regulated utilities and competitive generation (Southern Power), with energy from natural gas, renewables, and nuclear (including Vogtle units in Georgia).