A company is looking for a Data Engineer to manage large-scale genomic, ecological, and geospatial datasets.
Key Responsibilities
Engineer data delivery and modeling using SQL and Python to transform raw datasets into clean models
Lead the implementation of internal data applications to provide visibility into carbon and biodiversity metrics
Architect geospatial workflows to manage complex data and support mapping solutions for field teams
Required Qualifications
3+ years of experience as a Data Engineer, Solutions Architect, or similar role
Advanced proficiency in SQL for structuring and utilizing complex datasets
Experience navigating cloud environments (AWS / GCP) and managing resources
Proficient in Python for data manipulation and automation
Familiarity with geospatial data management tools and concepts is a plus
Data Engineer • Cincinnati, Ohio, United States