Overview
Remote
USD 75.00 per hour
Full Time
Skills
Recruiting
API
Golang
Computer Science
Software Engineering
RESTful
Apache Kafka
Unit Testing
Test-driven Development
Docker
Cloud Computing
Amazon Web Services
Microsoft Azure
Data Modeling
Database
NoSQL
Apache Beam
Google Cloud
Google Cloud Platform
Data Flow
Kubernetes
Bioinformatics
Storage
Data Mining
Science
Eclipse
Biotechnology
Analytics
Manufacturing
Supply Chain Management
Finance
Data Engineering
Algorithms
Data Structure
Stacks Blockchain
Job Details
Date Posted: 06/23/2025
Hiring Organization: Rose International
Position Number: 484516
Industry: Biotech
Job Title: IT Data Engineer
Job Location: Remote, USA
Work Model: Remote
Shift: M-F, 8-5
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 75.00
Max Hourly Rate($): 102.00
Must Have Skills/Attributes: Apache Kafka, Data Modeling, Unit Testing
Experience Desired: Software Engineering, API, Kafka (7 yrs); Experience with GoLang (2 yrs)
Required Minimum Education: Bachelor's Degree
Job Description
Education Requirements:
- Bachelor's degree in Computer Science or related field
Required Skills for the IT Data Engineer:
- 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
Preferred Skills:
- 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
IT Data Engineer Overview:
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
- Project your talent into relevant projects. Strength of ideas trumps position on an org chart
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 484516
Industry: Biotech
Job Title: IT Data Engineer
Job Location: Remote, USA
Work Model: Remote
Shift: M-F, 8-5
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 75.00
Max Hourly Rate($): 102.00
Must Have Skills/Attributes: Apache Kafka, Data Modeling, Unit Testing
Experience Desired: Software Engineering, API, Kafka (7 yrs); Experience with GoLang (2 yrs)
Required Minimum Education: Bachelor's Degree
Job Description
Education Requirements:
- Bachelor's degree in Computer Science or related field
Required Skills for the IT Data Engineer:
- 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
Preferred Skills:
- 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
IT Data Engineer Overview:
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
- Project your talent into relevant projects. Strength of ideas trumps position on an org chart
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.