INACTIVE
Full-Time
Geospatial Data Engineer
Digital agriculture company
Food & Agriculture
Data & Analytics
Hardware
Compensation Overview
$85,000 - $164,000Annually
Junior, Mid
Seattle, WA, USA + 2 more
Required Skills
Python
Git
Data Structures & Algorithms
Apache Spark
AWS
Pandas
Splunk
Data Analysis
Requirements
- B.A/B.S. in Computer Science, Statistics, Mathematics, Engineering or related field with at least 2 years of relevant work experience or M.S
- 2+ years development experience in Python, including but not limited to experience with Conda, package development, benchmarking/optimizing performance, code data wrangling and visualization libraries (e.g. pandas, matplotlib)
- Basic-to-intermediate statistics knowledge with the ability to efficiently execute root cause analysis, exploratory data analysis, and data summarization
- Experience using git, participating in code review, and software development best practices
Responsibilities
- Support and develop our algorithms running in Production systems that serve various business applications by developing automated validation processes to uncover issues, responding to support requests, investigating potential issues, implementing fixes/improvements, and summarizing findings and recommendations to Engineering, Product, and Science stakeholders
- Continuously improving our processes and tooling to develop, deploy, maintain Production software (e.g. benchmarking/improving code performance, improving CI/CD pipelines, ensuring adequate testing, dependency management for our packages)
- Perform root cause analysis of our agronomic vector data as a part of validating our software. Analyze and communicate unexpected behaviors of our algorithms by understanding how minute variations in the data affect results
- Collaborate/coordinate with members of your team and outside teams with varied backgrounds to deliver and support our software as a part of larger highly interconnected efforts
- Communicate complex technical information to peers, business partners, and engineers across the company
Desired Qualifications
- Experience with methods and tools of geospatial data analysis
- Experience working with Apache Spark
- Experience developing and maintaining CI/CD pipelines
- Experience with technologies related to cloud data applications (eg Splunk, AWS)
- Experience improving the efficiency of data pipelines and methodologies to reduce development time
- Agronomic domain knowledge/previous work experience in plant or crop sciences
Climate's mission is to help the world’s farmers sustainably increase productivity with digital tools. The next breakthrough in agriculture will utilize data and analytics to optimize the many decisions farmers must make throughout the growing season and in planning their operations.
Company Stage
M&A
Total Funding
$1.2B
Headquarters
St. Louis, Missouri
Founded
2006
Growth & Insights
Headcount
6 month growth
↓ -18%1 year growth
↓ -15%2 year growth
↓ -11%Benefits
Health Insurance
401K Plan
Work From Home
Maternity & Paternity Leave
Vacation & Paid Time Off
Paid Holidays
Sick Days
Free Lunch or Snacks
INACTIVE