Geospatial Data Engineer

At Climate, our mission is to use technologies to enhance the sustainability and security of our global food value chain. Using field-verified data science models, Climate is shaping the future of sustainable agriculture across 180 million acres worldwide and counting. As the digital farming arm of Bayer Crop Science, we have the benefits and resources of an established organization while offering employees the opportunity to deliver significant individual impact alongside some of the brightest minds in life sciences. 

Grounded in our vision, ‘Health for all, Hunger for none’, our diverse team spends their days solving the world's most pressing challenges through sheer curiosity and dedication. In our learning-oriented and flexible environment, you can find us collaborating in a hybrid model that mixes on-site and remote work. 

Our LIFE values—leadership, integrity, flexibility, and efficiency—and our unique focus on health and nutrition demand that we create value for all stakeholders—today, tomorrow, and for generations to come. If you’re hungry to build a meaningful career helping empower farmers with sustainable digital farming systems, keep reading! 

The Opportunity 

We are looking for a highly motivated Geospatial Data Engineer with applied experience with Machine Learning to join our team Data Insights Geospatial and Remote Sensing Science group within the Climate Science organization. You will work with a team of highly experienced remote sensing, AI and geospatial data scientists to build large-scale processing pipelines that applies geospatial datasets and computing power towards complex applications, while fostering your career growth and development. Your work is a critical horizontal capability that builds upon existing analysis ready data processing capabilities and accelerates science innovation at scale for multiple project directions. 

What You’ll Do  

• Implement scalable data-intensive processing pipelines that applies geospatial data to ML/DL models  
• Create and maintain Python packages for reusability and scalability of processing pipelines  
• Work with massive and complex geospatial datasets in a scientifically robust manner focusing on data provenance, quality, traceability, and error propagation to generate geo-consistent Analysis Ready Datasets   
• Actively support the team in the design, implementation and deployment of innovative and effective solutions to datacubes generation and modelling pipelines  
• Transition exploratory research into scalable processing pipelines for further development  
• Collaborate with engineering teams (internal stakeholders and external partners) working with geospatial platforms to implement models and algorithms at scale for production  
• Produce high quality code and advocate for coding standards with an emphasis on software craftsmanship 

 
About You 

What You’ll Need 

• Master’s degree or above in computer science, or related technical field (e.g. Data Science, Information Systems, Information Technology, Engineering, Information Management) or Bachelor's degree in related field with 2 years of experience  
• Minimum of 1 year experience understanding, processing, and munging geospatial data  
• Proficient and experienced in creating packages/scripts either using Python, Shell, etc., for performing data cleaning, analysis, and modeling tasks by maintaining the code base using GitHub, git  
• Experience in writing complex queries either in SQL, NoSQL and Big Query to perform ETL on datasets 

Nice To Haves  

• Experience working with cloud-based environment/infrastructure (AWS) and/or distributed computing environment such as Spark etc  
• Experience in designing unit test cases and implementation of them using testing libraries or test suites such as Py Test, JUnit etc  
• Experience in stats/ML model training, validation, data collection and/or working with geospatial data  
• Knowledge of remote sensing and geospatial data sources, characteristics, and methods Experience or familiarity of raster and vector geospatial data format, experience with QGIS  
• Experience working with and contributing to the open source software community for geospatial software and analysis  
• One or more years of experience in applying machine learning solutions on a scalable platform to real-world applications  
• Familiarity with agricultural and crop management systems 

What We Offer 

• Base salary estimated range between [$91,517-$162,370] annually, depending on the hiring location. You may also be offered bonuses, RSUs cash equivalent, or commission. 
• Comprehensive health benefits including medical, dental, vision, life, and disability, as well as a Life Solutions Plan covering mental health benefits 
• Industry leading 401K match of up to 10% 
• Discounted access to Employee Share Purchase Plan program 
• Professional growth opportunities including up to $10,000 college tuition reimbursement, access to upskilling platform, leadership training, mentoring and coaching programs, and short-term assignments (domestic and international) 
• Yearly $500 WFH stipend for hybrid office employees 

Belonging and Accommodations 

At Climate, we strive to create inclusive experiences for candidates and employees alike in which a diverse set of perspectives and voices are represented. If this role sounds exciting to you but your experience doesn’t perfectly align with the job description, we still encourage you to apply. 

We’re proud to be an equal opportunity employer. This means we actively pursue ways to celebrate our differences and don’t discriminate based on race, religion, color, national origin, ethnicity, gender, sex ML (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws.  

If you need assistance or an accommodation due to a disability, contact us at accommodations@climate.com.   

Learn more about our team and mission: https://climate.com/careers 

#LI-TF1