At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Sr Staff Data Engineer
The mission of Bayer Crop Science is centered on developing agricultural solutions for a sustainable future that will include a global population projected to eclipse 9.6 billion by 2050. We approach agriculture holistically, looking across a broad range of solutions from using biotechnology and plant breeding to produce the best possible seeds, to advanced predictive and prescriptive analytics designed to select the best possible crop system for every acre.
To make this possible, Bayer collects terabytes of data across all aspects of its operations, from genome sequencing, crop field trials, manufacturing, supply chain, financial transactions, and everything in between. There is an enormous need and potential here to do something that has never been done before. We need great people to help transform these complex scientific datasets into innovative software that is deployed across the pipeline, accelerating the pace and quality of all crop system development decisions to unbelievable levels.
What you will do is why you should join us:
Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets;
Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate;
Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact;
Explore relevant technology stacks to find the best fit for each dataset;
Pursue opportunities to present our work at relevant technical conferences:
Google Cloud Next 2019:
Google Cloud Blog:
Project your talent into relevant projects. Strength of ideas trumps position on an org chart.
WHO YOU ARE
Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:
BS degree in Computer Science, Software Engineering, or related field, with 10+ years of professional software engineering experience or MS with 8+ years of relevant experience or PhD with 6+ years of relevant experience or 14+ years of relevant experience is an acceptable substitute for degree requirement;
At least 6 years experience in software engineering;
At least 4 years experience with Go;
Proven experience (2 years) building and maintaining data-intensive APIs using a RESTful approach;
Experience with stream processing using Apache Kafka;
A level of comfort with Unit Testing and Test Driven Development methodologies;
At least 1 year of experience deploying to and hosting applications with Kubernetes;
A proven ability to build and maintain cloud-based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform;
Experience data modeling for large scale databases, either relational or NoSQL;
Strong interpersonal skills and desire to work in a highly collaborative environment.
- Experience with protocol buffers and gRPC;
- Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes;
- Experience working with product manufacturing datasets, or a background in the application of quantitative approaches to interacting with data produced by manufacturing pipeline systems (ex: SAP).
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
IMPORTANT NOTE for POTENTIAL US CANDIDATES: Bayer expects its employees to be fully vaccinated against COVID-19. Bayer active employees are also expected to disclose their vaccination status and if fully vaccinated, provide proof of vaccination status to Occupational Medicine. Bayer defines fully vaccinated in alignment with CDC which is two weeks after completing the two-dose vaccine regimen or two weeks after completing the one-dose regimen. Additionally, Bayer employees are also required to comply with state, local and customer requirements.
Location: United States : Missouri : Creve Coeur
Division: Enabling Functions
Reference Code: 785144