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Data Engineer

Lux Research is a rapidly growing company providing strategic advice and on-going intelligence on emerging technologies. Leaders in business, finance, and government rely on us to help them make informed decisions around innovation and technology. Within Lux’s software development team, you’ll find new and uniquely interesting problems to solve. You’ll analyze data from uncommon sources, create visualizations, and ultimately design tools to uncover insights on emerging technologies in fields like advanced materials, renewable energy, and robotics. You’ll participate in roadmap planning by capturing issues and breaking down stories into achievable tasks and deploy your solutions in a cloud environment for our customers. We work on making each other better engineers through pair programming, code review, and tech talks – all leading to developing great solutions as a team.

Lux Research is looking for an experienced software engineer to further evolve our cloud-based platform for innovation data analytics. Specifically, this effort is focused on analyzing innovation-related datasets to track and predict, with greater accuracy and foresight than ever before, when and how new technologies will impact the market. You will be responsible for implementing loads and updates of the world’s innovation data in a repeatable, testable, and timely manner.  You will work with the lead software engineer and product manager of this larger effort. The ideal candidate will have hands-on experience with Python, AWS, ELT, data pipelines, SQL, graph databases, modeling and a familiarity with AI techniques.

What you’ll do:

  • Develop, deploy, and support cloud-based tools and data pipelines for innovation data.
  • Programming and engineering throughout the entire stack of the project, with a focus on data engineering: models, storage and update.
  • Find, develop and integrate new sources of data to add insights and quality.
  • Work with counterparts in other parts of the software development team and more broadly at Lux, including within Lux Research’s core business (like syndicated research and client engagement) to better understand client needs and development opportunities.

What we look for:

  • Several years of experience with ELT solutions utilizing SQL and cloud storage.
  • Proficiency with Python and SQL.
  • Familiarity with AWS, unit testing, scalability, data pipelines, and graph databases.
  • A degree in an IT-related field (computer science, computer engineering, mathematics, statistics, and/or similar).
  • Great communication and organizational skills are essential, including the ability to meet deadlines in a fast-paced, collaborative workplace.
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