Senior Data Engineer, Scientific American

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
• Implementing scoring systems and other algorithmic processing to further business initiatives
• 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.

Responsibilities:

• 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, including building new systems from scratch.
• 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 in creating processing that perform calculations and/or other algorithmic analysis.
• 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.).
• Good familiarity with some data processing/analytics technologies (Spark, Torch, Charm, Jupyter, Zeppelin, etc…)
• Past experience in news media, publishing, streaming, or other customer-facing content in general is a huge plus.
• 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.
• Experience with NLM or other types of semantic analysis would be valuable

#LI-EG1

Springer Nature US provides a comprehensive and competitive benefits package which includes the benefit offerings listed below: 
•    Medical, Dental and Vision 
•    401(k) with company match and contribution
•    Hybrid office working policy, Summer Hours, and paid time off
•    Flexible Spending and Commuter programs
•    Multiple Life insurance options
•    Disability coverage
•    Tuition Assistance
•    Voluntary benefits: Identity Theft Protection, Pet Insurance, and Legal Assistance Insurance
•    Employee Assistance Program
•    Family friendly benefits and a variety of employee discounts
•    An array of Employee Social Networks  

Annualized Base Salary Range: $127,000 – $155,000. The salary offer may vary based on work experience, education and skill level.
 
Springer Nature is an Equal Opportunity Employer that complies with the laws and regulations set forth in the following “Equal Employment Opportunity Is The Law” poster: http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf  
 
Internal applicants: We encourage that you speak to your manager once the interview process has started. At the point of offer acceptance, it is required that you inform your manager.  If for any reason you’re unable to do so, please contact HR who can provide guidance as required.
 
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.
 
Visit the Springer Nature Editorial and Publishing website at www.springernature.com/editorial-and-publishing-jobs for more information about our Research E&P career opportunities.