Python Data PI Historian Engineer

Remote, USA Full-time
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Hexacorp, is seeking the following. Apply via Dice today! We are looking for a skilled Data Engineer / Historian Engineer with strong experience in .NET and Python to design, develop, and support data pipelines for industrial and operational data systems. The ideal candidate will have hands-on experience working with data historians (PI Historian preferred), time-series data, and modern cloud platforms. Key Responsibilities: • Design, develop, and maintain data ingestion and ETL/ELT pipelines for time-series and operational data • Integrate and extract data from industrial data historians (AVEVA PI or similar) • Develop scalable and maintainable applications using .NET (C#) and Python • Build and maintain APIs and automation services for data access and processing • Optimize and manage SQL databases for performance and reliability • Work closely with process engineers, analysts, and IT teams to understand data requirements • Monitor, troubleshoot, and support data pipelines and historian integrations • Follow best practices for coding, testing, version control, and documentation Required Skills: • Strong programming experience in .NET (C#) and Python • Hands-on experience with PI Historian or other industrial historians • Solid understanding of time-series data concepts • Proficiency in SQL (querying, optimization, data modeling) • Experience with cloud platforms (Google Cloud Platform, Azure, or AWS) • Experience with ETL/ELT processes and data pipelines • Familiarity with Git and CI/CD practices Preferred / Nice to Have: • Experience with Google Cloud Platform services (BigQuery, Cloud Storage, Dataflow, Pub/Sub) • Knowledge of other historians (Aspen, GE Proficy, Honeywell PHD) • Experience with Docker, Kubernetes • Manufacturing, energy, or industrial domain experience • Exposure to BI or visualization tools (Power BI, Tableau, Looker) Education: • Bachelor s or Master s degree in Computer Science, Engineering, or related field (or equivalent experience) Apply tot his job
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