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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
o Google Cloud Next 2019: https://www.youtube.com/watch?v=fqvuyOID6v4
o GraphConnect 2015: https://www.youtube.com/watch?v=6KEvLURBenM
o Google Cloud Blog: https://cloud.google.com/blog/products/containers-kubernetes/google-kubernetes-engine-clusters-can-have-up-to-15000-nodes
? Project your talent into relevant projects. Strength of ideas trumps position on an org chart
If you share our values, you should have:
? At least 7 years experience in software engineering
? At least 2 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
? Familiarity with creating and maintaining containerized application deployments with a platform like Docker
? 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
Bonus points for:
? 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 scientific datasets, or a background in the application of quantitative science to business problems
? Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation
Location: Creve Coeur, MO or Remote from another location.
Full Time
Logistics Services
$93k-122k (estimate)
12/09/2023
05/12/2024
BAYTOWN, TX
>50,000
2009
MIKE FURMAN
$50M - $200M
Logistics Services
The job skills required for Senior Data Engineer include Analysis, Futures, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
03/09/2022: Billings, MT
The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
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Create architecture for real-time, big data applications with minimal maintenance effort.
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Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
01/22/2022: Greenville, MS
Provides successful deployment and provisioning of data solutions to production or other required environments.
01/12/2022: Dothan, AL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
02/06/2022: Providence, RI
Earn a bachelor’s degree related to data engineering and begin working on projects.
02/16/2022: Denver, CO
Consider pursuing additional professional engineering or big data certifications.
03/06/2022: Raleigh, NC
Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
01/24/2022: Abilene, TX
Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
01/02/2022: New York, NY
Step 3: View the best colleges and universities for Senior Data Engineer.