Data Software Engineer
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POST DATE 9/3/2016
END DATE 12/19/2016
Ginas Tech Jobs
Houston TX Jobs, Data Software Engineer, C++, Java, Groovy, Python, Texas Recruiters, Information Technology Jobs, IT Jobs, Texas Recruiting
Multiple openings! Fantastic opportunity with a very successful, growing company with cutting-edge technology and a staff consisting of many of the brightest technical talent in the world. Will relocate the right candidate. Will sponsor visa's. Will consider recent college grads with stellar academic record.
Bachelor's and/or Master's degree from a top computer science program preferred. Prefer degrees from Rice University, University of Texas-Austin, Texas A&M, University of Houston, Texas Tech University, University of Georgia, University of Virginia, Duke University. Also, Carnegie Mellon University, Massachusetts Institute of Technology/MIT, Stanford University, University of California-Berkeley, Cornell University, University of Illinois-Urbana-Champaign, Princeton University, University of Washington, Georgia Institute of Technology, California Institute of Technology, University of Wisconsin-Madison, University of Michigan-Ann Arbor.
Candidates with experience at finance, trading, software and/or technology companies preferred.
Seeking a Data Engineering Software Engineer to join the team. Data Engineers are the backbone of the company's information-gathering mission.
You will develop software that enables us to:
-Amass vast quantities of information that can inform investment decisions.
-Provide that information to cutting-edge trading and analysis platform.
-Collect, parse, and clean terabytes of data used for research and real-time automated decision-making.
-At minimum, a bachelor's degree in computer science.
-Experience using several different programming languages such as Java, Groovy, and Python.
-Experience with large-scale systems is highly desirable.
-Strong programming skills.
-Ability to make extensive use of proprietary in-house file systems, databases, and data flow control systems built in Java and C++, with new languages and technologies continuously being evaluated.
-Obsessive attention to detail.
-A keen interest in building and maintaining large-scale, error-free data sets.
-While we analyze the data-rich domain of finance, financialexperience is not a requirement.