Data Engineer 4 / Power Systems Engineer

We are actively seeking a Data Engineer 4 / Power Systems Engineer in Charlotte NC. Specifically looking for an Engineer with power systems background to contribute as an SME for a transmission planning process automation project. This job is fully remote but local candidates to Charlotte, NC are strongly encouraged to apply. This is a very long term contract.

Join our dynamic team at our energy partner as a Data Engineer 4, where you will play a pivotal role in harnessing the power of data to optimize operations, enhance decision-making processes, and drive innovation in the rapidly evolving energy sector. As a seasoned professional, you will leverage your expertise to design, implement, and maintain robust data pipelines, ensuring the seamless flow of information critical to powering the future of sustainable energy solutions

Power Systems Engineer - Transmission Planning Automation

Description:

Engineer with power systems background to contribute as an SME for a transmission planning process automation project.

The work involves working with development team to automate transmission planning processes using python and transmission planning applications, such as Siemens PSSE.

Requirements:

Bachelors, Masters or PhD (or equivalent) in electrical engineering with power systems as specialization (MUST)

1-3 years of experience working for a utility industry vendor or a utility (MUST)

Experience with programming in Python (MUST)

Scripting planning applications such as PSSE, CYME, PSLF is a big plus

Experience working on transmission systems and planning applications is a big plus

Distribution system experience is also acceptable

Overall Day to Day Duties:

Support or collaborate with application developers, database architects, data analysts and data scientists to ensure optimal data delivery architecture throughout ongoing projects/operations.

Design, build, and manage analytics infrastructure that can be utilized by data analysts, data scientists, and non-technical data consumers, which enables functions of the big data platform for Analytics.

Develop, construct, test, and maintain architectures, such as databases and large-scale processing systems that help analyze and process data in the way the Analytics organization requires.

Develop highly scalable data management interfaces, as well as software components by employing programming languages and tools.

Work closely with a team of Data Science staff to take existing or new models and convert them into scalable analytical solutions.

Design, document, build, test and deploy data pipelines that assemble large complex datasets from various sources and integrate them into a unified view.

Identify, design, and implement operational improvements: automating manual processes, data quality checks, error handling and recovery, re-designing infrastructure as needed.

Create data models that will allow analytics and business teams to derive insights about customer behaviors? Build new data pipelines, identify existing data gaps and provide automated solutions to deliver analytical capabilities and enriched data to applications.

Responsible for obtaining data from the System of Record and establishing batch or real-time data feed to provide analysis in an automated fashion.

Develop techniques supporting trending and analytic decision making processes

Apply technologies for responsive front-end experience

Ensure systems meet business requirements and industry practices

Research opportunities for data acquisition and new uses for existing data

Develop data set processes for data modeling, mining and production

Integrate data management technologies and software engineering tools into existing structures

Employ a variety of languages and tools (e.g. scripting languages)

Degree in Computer Science, Engineering, or related fields.