Senior Data Engineer, Scientific American

Springer Nature, New York, NY

A world-leading research, educational, and professional publisher.

Duration: Full-Time

About the Springer Nature Group
Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow.

About Scientific American
Scientific American covers the most important and exciting research, ideas and knowledge in science, health, technology, the environment and society. It is committed to sharing trustworthy knowledge, enhancing our understanding of the world, and advancing social justice. Founded 1845, Scientific American is the oldest continuously published magazine in the United States. It has published articles by more than 200 Nobel Prize winners and reaches more than 6 million people around the world each month through its website, print and digital editions, newsletters and app. It reaches millions more through social media and other platforms.

About the Role 
Scientific American is at a pivotal moment and preparing to build the next generation of our entire web platform, and we're looking for a pragmatic and experienced Senior Data Engineer to design and build big ideas.
The first Senior Data Engineer will design and build the foundational technology we used to understand our audience and business.

Flexible work arrangements are available for this role.  

This will include:
* Building and maintaining large, performant databases for business and user data
* Creating scalable API REST services to integrate data back into the CMS and reader experience
* Building and maintaining pipelines connecting our own data with third-party services
* Collaborating to generate not only automated reporting from the full suite of data systems but also pipelining data so that it can be used for real-time decisioning
* The role reports into the Director of Engineering. The ideal candidate will be an experienced and business or product minded engineer capable of architecting and building ambitious new systems and platforms.

* Work with Data Analysts, Product, and stakeholders to devise practical and effective data solutions for Scientific American.
* Lead the technical effort on ambitious greenfield projects and iterate on the problem space over time.
* Work with DevOps to ensure data systems are stable and well-monitored.
* Vet vendors, and help engineering leadership decide what to build, what to buy, and how it should all fit together.
* Mentor, cross-train, and build consensus with other engineers as the team grows.
* Additional responsibilities as needed.

Experience, Skills & Qualifications:
* Demonstrable, multi-year  experience in data engineering.
* Experience maintaining web applications with high traffic levels
* Excellent technical judgement and a predilection towards simplicity and approachability.
* Experience in Python or similar languages.
* Experience implementing ETL pipelines.
* Experience working in AWS.
* Experience building greenfield projects from the early idea stages to serving critical roles in production.
* Deep understanding of common open source databases (MySQL, Postgres, etc.).
* Experience with best practices around testing, security, and privacy compliance.
* Excellent written and verbal communication skills, comfortable collaborating with other engineers and nontechnical stakeholders alike.
* Past experience in news media or publishing is a huge plus.

About Springer Nature

Springer Nature is an ambitious and dynamic organisation that is home to some of the best known names in research, educational and professional publishing. Working at the heart of a changing industry we are always looking for great people who care about delivering quality to our customers and the communities we work alongside.

In return you will find Springer Nature is a great place to learn from some of the best in the business, with a culture that empowers people to find solutions and act on their instincts.

Whether you are at the beginning of your career or are an experienced professional, we invite you to find out more about the roles we offer and explore our current vacancies.

Visit: and follow @SpringerNature

Diversity Statement:

At Springer Nature, we value the diversity of our teams. We recognize the many benefits of a diverse workforce with equitable opportunities for everyone. We strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles.

Springer Nature

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