: Overview Deriva Energy is a leading Independent Power Producer in the US renewables market, with over 6 GW of operating or under construction wind, solar and storage projects across the country. Deriva empowers customers with innovative clean energy solutions that strengthen communities and serve future generations. Deriva's ultimate parent is Brookfield Renewable and is poised for growth across its wind, solar, and storage portfolios. Join a dynamic team committed to excellence and innovation who envision a future of energy independence using resilient, carbon-free generation. We offer competitive compensation, comprehensive benefits, and the opportunity to make a significant impact in the rapidly evolving renewable energy industry. Summary We are looking for a dynamic data engineer to join a fast-growing analytics team. You will be primarily working with big-volume data leveraging the newest and cutting edge technologies available on the market. If you are a sharp, innovative and talented engineer wanting to fully utilize your skills, keep learning and growing with your career, be engaged and enabled with various exciting big data projects, this is the right opportunity for you. You will work alongside senior engineers, analysts, and data scientists to ensure our data pipelines are efficient, reliable, and scalable. This is a great opportunity to develop technical expertise and grow in the data engineering field. This role is intended to be located at the Deriva Headquarters office in Charlotte, NC. The office position is hybrid. Key Responsibilities Assist in designing, developing, and maintaining ETL (Extract, Transform, Load) pipelines to move and process data from various sources

Support database management, including data modeling, indexing, and query optimization

Help ensure data quality, accuracy, and security across systems.

Collaborate with cross-functional teams to understand data needs and deliver solutions

Write clean, maintainable, and well-documented code

Monitor and troubleshoot data pipelines, resolving issues promptly

Participate in code reviews and contribute to process improvements

Required/Basic Qualifications Bachelor's degree in computer science, or other closely related discipline

Desired Qualifications Deriva Energy Internship or co-op experience related to data engineering

Hands-on experience in Java/Spring boot building scalable, high performing and robust Java applications

Python programming

Hands-on experience in PySpark/Spark

Hands-on experience with AWS, Bedrock and Gen AI

Experienced with RDBMS and ETL tools

Strong collaborations skills working with data architects, data scientists, developers, and other IT team members

Extensive experience in large scale system implementation and project management

Benefits Health Insurance

Dental Insurance

Vision Insurance

401(k) with matching

Employee assistance program

Flexible spending account

Life insurance

Paid time off

Parental leave

Additional Information: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Deriva welcomes veterans of the United States Armed Forces to apply for this position. Deriva includes veterans of all branches and a diverse set of occupational specialties. We value the independent thinking, problem solving, leadership, and teamwork that our veterans have developed through their service. We welcome applications from any service and any military occupational specialty. Deriva Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.