Senior Big Data Metrics Software Engineer

Elsevier is in the midst of a transformation and technology is simultaneously at the forefront and the driving force. Our innovative technology platforms and smart content solutions operate at the cutting edge of big data, semantic web and cloud technology, enabling faster more effective critical decision-making daily across the globe. As a member of the Elsevier Research Metrics development team, you’ll be working with a group of passionate product managers and developers, all focused on defining the next generation of scholarly impact metrics. We offer a fun, rapid development environment, where innovation and shipping real code are highly valued.

The Role: We are seeking a talented and self-motivated Senior Big Data Engineer who understands data automation and best practices to insure overall data quality. This role will engage in large dataset analysis including pattern discovery, error detection, inadequate normalization and duplication detection with the goal of improved data matching and metric accuracy. You will work closely with our QA team, data acquisition and metric processing architects and developers. The ability to develop tools for both analysis and remediation will be key to the successful execution of this role.

In this unique opportunity you will be joining a partially distributed agile team working from our US technology hub in our open, engaging, newly renovated Philadelphia offices. In this growth infused, career opportunity you will contribute to the creation and accuracy of a set of robust research metrics to help internal and external customers’ measure research impact and performance. The metrics will be used across all of Elsevier’s products and platforms. You will be working in an environment constructed with the sole purpose of encouraging creativity and collaboration.

What we offer: We welcome you to a truly global, dynamic and challenging environment with great opportunities for personal development.

This is an exciting opportunity to play a leading role in changing the way that data based products are delivered within the company, devising and implementing a modern approach to software engineering that enables people throughout the company to take advantage of one of the world’s broadest collections of scientific literature. You will be enthusiastic about engineering quality and be interested in sharing good practices within the team and the company as a whole. We expect the successful candidate to work in a close-knit, cross-division team, forming a coherent unit with colleagues from product, technology, project management, etc.

Key Tasks

The ideal candidate would:


Desired skills include

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IT/Technical & Product Development

Primary Location




Employee Status


Closing Date (Period for Applying) – External


Plum™ Analytics, helps answer questions about the impact of research so funders, researchers, librarians, administrators, and publishers have up-to-date and comprehensive information. Whether you are performing, funding or monitoring research, Plum Analytics provides accurate and timely information through their PlumX product. For more information visit The Plum product development team is a distributed, agile team. We allow folks to work remotely, in the environment where they can be most effective. Our award-winning PlumX product, is changing the way that scholarship is measured.

Interested? Apply here.