Data Engineer/GoLang Developer

neteffects; St. Louis (MO); On-site; USD 80,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where your expertise in software engineering and data-intensive applications will drive innovation in agricultural solutions. In this remote role, you'll collaborate with top talent to create distributed analysis capabilities, tackle complex challenges, and present your work at technical conferences. Your contributions will play a crucial role in transforming scientific datasets into impactful software solutions, helping to shape a sustainable future for agriculture. If you're passionate about technology and eager to make a difference, this is the perfect opportunity for you.

Benefits

Health insurance

Health savings account

Dental insurance

Vision insurance

Flexible spending accounts

Life insurance

Retirement plan

Qualifications

• 7+ years in software engineering with a focus on data-intensive applications.
• Experience with Go and building RESTful APIs.

Responsibilities

• Develop distributed analysis capabilities for diverse datasets.
• Innovate software solutions using advanced algorithms and data structures.

Skills

Software Engineering

Go

RESTful APIs

Apache Kafka

Unit Testing

Docker

Cloud Infrastructure

Data Modeling

Tools

AWS

Azure

Google Cloud Platform

Job description

Description:
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:

1. Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets
2. Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate
3. Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact
4. Explore relevant technology stacks to find the best fit for each dataset
5. Pursue opportunities to present our work at relevant technical conferences
6. Project your talent into relevant projects. Strength of ideas trumps position on an org chart

If you share our values, you should have:

1. At least 7 years experience in software engineering
2. At least 2 years experience with Go
3. Proven experience (2 years) building and maintaining data-intensive APIs using a RESTful approach
4. Experience with stream processing using Apache Kafka
5. A level of comfort with Unit Testing and Test Driven Development methodologies
6. Familiarity with creating and maintaining containerized application deployments with a platform like Docker
7. A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform
8. Experience data modeling for large scale databases, either relational or NoSQL

Bonus points for:

1. Experience with protocol buffers and gRPC
2. Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes
3. Experience working with scientific datasets, or a background in the application of quantitative science to business problems
4. 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.
Is travel required for this position?
No
Will the work location for this assignment be office based, remote, or hybrid?
Remote
Worker Shift Start Time
AM - 08:00 AM
Is driving required for this position?
No - No driving on a regular basis for company business is required for role
Subcontractor Submittals Allowed?
No
Is Filtered Assessment Required?
No

Benefits (employee contribution):

• Health insurance
• Health savings account
• Dental insurance
• Vision insurance
• Flexible spending accounts
• Life insurance
• Retirement plan

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.