Python Data PI Historian Engineer

  • Atlanta, GA
  • Posted 1 hour ago | Updated 1 hour ago

Overview

Remote
On Site
Hybrid
$70 - $90
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 36 Month(s)
Able to Provide Sponsorship

Skills

.NET
Amazon Web Services
Aspen
Business Intelligence
Cloud Computing
Cloud Storage
C#
Continuous Delivery
Continuous Integration
Data Flow
Data Modeling
Database
Docker
ELT
Energy
Extract
Transform
Load
Git
Good Clinical Practice
Google Cloud Platform
Management
Microsoft Azure
Microsoft Power BI
Optimization
Python
SQL
Tableau
Testing
Time Series
Version Control
Visualization

Job Details

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)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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