Entry Level Data Engineer

PADO AI Orchestration, Inc.; Morgantown (WV); On-site; USD 72,000 - 88,000; Full time

Benefits offered by this job

Performance-based annual bonus

Company equity

401K and healthcare benefits

Job summary

A pioneering AI-driven energy management firm in Morgantown is seeking an entry-level Data Engineer. You will assist in data pipeline development, manage data storage, ensure data quality, and write automation scripts. Candidates must have or be on track to complete a 4-year degree with a GPA of at least 3.0, and demonstrate experience with relevant coursework. This role offers competitive compensation, equity, and benefits within a collaborative team environment.

Qualifications

• Minimum GPA of 3.0
• Demonstrated experience completing independent software or data projects highly valued.
• Readiness to complete a technical assessment.

Responsibilities

• Assist in designing and maintaining ETL/ELT pipelines.
• Contribute to the management of relational and potentially NoSQL databases.
• Implement and monitor data quality checks.
• Write and maintain scripts for automation of data processes.
• Engage with cloud data services to build scalable solutions.
• Troubleshoot issues within existing data pipelines.
• Collaborate with data engineers, scientists, and analysts.
• Document processes for knowledge sharing.
• Continuously learn about trends in data engineering.

Skills

Statistics

Calculus

Differential equations

Numerical programming with Python or R

Object-oriented programming in Python, C/C++ or Java

Education

Completed or on-track to complete a 4-year degree by June 2025

Tools

AWS

Azure

GCP

Job description

PADO AI Orchestration, Inc., a groundbreaking new venture backed by LG NOVA, is revolutionizing energy management for the modern data center. Pado is led by a team of serial and tech entrepreneurs, with over 60+ years of experience in the energy and AI space. We leverage proprietary AI and ML to empower data centers to optimize power consumption, enhance resilience, and significantly improve operational efficiency. As the demand for AI-driven compute power escalates, data centers face unprecedented energy challenges. PADO offers the intelligent orchestration needed to navigate this complex landscape.

PADO is backed by LG NOVA, the North American Innovation division of LG Electronics.

As we scale, we’re looking for a motivated entry level Data Engineer who owns a self-starter mindset with the confidence that they can change the world through their work. PADO strongly values team players and employees who are always respectful with a “colleague- and customer-first” mentality. While PADO will provide all on-the-job training as necessary, PADO expects all candidates to be capable of independently solving challenging technical tasks by the end of their first year.

What You'll Do:

• Assisting in Data Pipeline Development. Help design, develop, and maintain ETL/ELT pipelines to move and transform data from diverse sources into our data systems.
• Managing Data Storage. Learn about and contribute to the management of various databases, including relational (SQL) and potentially NoSQL databases, and assist in designing optimal data schemas.
• Ensuring Data Quality. Implement and monitor data quality checks to ensure our data is accurate, complete, and consistent. You'll help troubleshoot and resolve data discrepancies.
• Scripting & Automation. Write and maintain scripts (primarily in Python and SQL) to automate data processes and monitor pipeline health.
• Cloud Platform Engagement. Gain hands-on experience with cloud data services (e.g., AWS, Azure, GCP) as you assist in building scalable data solutions.
• Troubleshooting & Optimization. Help identify and resolve issues within existing data pipelines and look for opportunities to improve data processes.
• Collaborating with Stakeholders. Work closely with senior data engineers, data scientists, and analysts to understand data requirements and deliver reliable datasets.
• Documenting Processes. Create clear and concise documentation for data pipelines, models, and processes to foster knowledge sharing and maintainability.
• Continuous Learning. Stay curious and updated with the latest trends and technologies in data engineering, continuously expanding your skill set.

Qualifications:

• All full-time candidates will need to have completed or be on-track to complete a 4-year degree by June 2025 with a minimum GPA of 3.0.
• Candidates having demonstrated experience completing independent software or data projects are particularly welcome.
• Data engineer candidates must have completed coursework in the following topics: statistics, calculus, differential equations, numerical programming with Python or R, and object-oriented programming in Python, C/C++ or Java.
• Coursework in the following optional topics are strongly desired: general chemistry, general physics, thermodynamics, physical chemistry, AI/ML, and/or energy efficiency.
• All candidates should be prepared to complete a technical assessment, in addition to standard interviews.

Why Join PADO?

• Be a part of a pioneering venture backed by LG NOVA, at the forefront of AI-driven energy innovation.
• Address the critical energy challenges facing the rapidly expanding data center industry.
• Work with cutting-edge AI/ML technology designed to deliver tangible ROI and operational improvements.
• Opportunity to significantly impact the company's growth and success.
• Be a design leader at the forefront of AI innovation and help us shape not just the product, but the company’s design direction as we scale.
• Collaborate with a passionate and supportive team.
• Competitive compensation package (salary, equity and benefits).

Salary

$80K, but may be adjusted depending on experience and qualifications. PADO also offers performance-based annual bonus, company equity, 401K and healthcare benefits.

Location

This position will be on site at our Morgantown, West Virginia office.

Please send resume to [e-mail] with the subject line as "Entry Level Data Engineer"

PADO AI Orchestration, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.