DC Energy is an investor and trader in the commodity markets. With a deep bench of talented and creative professionals, we use rigorous analytical methods to manage our investments. We offer a team-oriented environment and competitive compensation in the Washington, DC metro area. Our professionals bring a diverse combination of skills and experience to their work, which results in a working atmosphere that is supportive and intellectually stimulating. Outside of the work day, DC Energy professionals also participate in a number of firm-wide social activities, including Washington Nationals and Washington Capitals games, concerts, picnics and hiking trips. DC Energy does not offer visa sponsorships at this time.  Each candidate hired for this position will be required to complete a Form I-9 within three days of starting work at DC Energy to confirm authorization to work in the United States.

DC Energy, LLC

Vienna, VA

Data Engineer

DC Energy is looking for full-stack engineers to help build and refine the software that powers our business. We take a do-it-yourself approach and have built a stack composed of a variety of technologies including R, Python, Shiny, PHP, and C. We employ the tools best suited for a given job, and seek individuals who share that philosophy. Our ideal candidate is a polyglot with an aptitude for picking up new languages and technologies, and who enjoys solving difficult data engineering problems.

This is a hands-on, technical role in a highly-collaborative team. Responsibilities will include development of software new and old across many aspects of our business. As your experience grows, you will contribute to more general design and architecture questions.

Feel free to send or link to a code sample as part of your application.

Skills & Requirements

Required:

- Aptitude with at least one programming language (e.g. R, Python, PHP)
- Bachelors or Masters in Computer Science, Engineering, or related study or work experience

Desired:

- Developer experience with MySQL. DBA experience a plus
- Unix/Linux background
- Statistical or scientific computing experience (e.g. R, SPlus, Matlab)
- GitHub portfolio or other accessible code samples
- Familiar with version control systems, especially Subversion