Data Power System Engineer

KCI, LLC; United States; Remote; Full time

Job summary

An exciting opportunity awaits as a Data Engineer 4 with a focus on power systems! Join a dynamic team in a fully remote role that emphasizes innovation in the energy sector. As a key player, you'll leverage your expertise in Python and data pipeline development to optimize operations and enhance decision-making processes. This long-term contract position requires a strong background in electrical engineering, specifically in power systems, and offers a chance to contribute to meaningful projects that drive sustainable energy solutions. If you're passionate about harnessing the power of data, this role is perfect for you!

Qualifications

• Must have a power systems background and experience in the utility industry.
• 1-3 years of experience in utility vendor or utility is required.

Responsibilities

• Design, build, and manage analytics infrastructure for data delivery.
• Develop and maintain data pipelines for large complex datasets.

Skills

Python

Data Analysis

Data Pipeline Development

Process Automation

Data Modeling

Education

Bachelor's in Electrical Engineering

Master's or PhD in Electrical Engineering

Tools

Siemens PSSE

CYME

PSLF

Job description

This range is provided by KCI, LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$140.00/yr - $185.00/yr

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.

Description:

1. Engineer with power systems background to contribute as an SME for a transmission planning process automation project.
2. The work involves working with the development team to automate transmission planning processes using Python and transmission planning applications, such as Siemens PSSE.

Requirements:

1. Bachelors, Masters or PhD (or equivalent) in electrical engineering with power systems as specialization (MUST)
2. 1-3 years of experience working for a utility industry vendor or a utility (MUST)
3. Experience with programming in Python (MUST)
4. Scripting planning applications such as PSSE, CYME, PSLF is a big plus
5. Experience working on transmission systems and planning applications is a big plus
6. Distribution system experience is also acceptable

Overall Day to Day Duties:

1. Support or collaborate with application developers, database architects, data analysts, and data scientists to ensure optimal data delivery architecture throughout ongoing projects/operations.
2. 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.
3. 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.
4. Develop highly scalable data management interfaces, as well as software components by employing programming languages and tools.
5. Work closely with a team of Data Science staff to take existing or new models and convert them into scalable analytical solutions.
6. Design, document, build, test, and deploy data pipelines that assemble large complex datasets from various sources and integrate them into a unified view.
7. Identify, design, and implement operational improvements: automating manual processes, data quality checks, error handling and recovery, re-designing infrastructure as needed.
8. 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.
9. Responsible for obtaining data from the System of Record and establishing batch or real-time data feeds to provide analysis in an automated fashion.
10. Develop techniques supporting trending and analytic decision-making processes.
11. Apply technologies for responsive front-end experience.
12. Ensure systems meet business requirements and industry practices.
13. Research opportunities for data acquisition and new uses for existing data.
14. Develop data set processes for data modeling, mining, and production.
15. Integrate data management technologies and software engineering tools into existing structures.
16. Employ a variety of languages and tools (e.g. scripting languages).

Employment Type

Contract

Seniority level

Mid-Senior level

Industries

Telecommunications