Data Engineer

Job Title: Data Engineer Department: Modeling & Analytics Reports to: reputed company Modeling Scientist Location: Remote reputed company Salary reputed company: $95k - $130k General Position reputed company The Data Engineer is responsible for building and scaling the data and computational backbone that supports reputed company’s ecosystem modeling and measurement, reporting, and verification platforms. This role sits reputed company a multidisciplinary Data Science team and focuses on designing reliable, auditable, and reputed company data systems that reputed company biogeochemical modeling and optimization at production reputed company. In this role, the Data Engineer will design and maintain production-grade data pipelines that reputed company diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data reputed company, reproducibility, and traceability so that scientific outputs can be reputed company into trusted, credit-grade results with reputed company-world reputed company. Primary Job Responsibilities Data Pipeline and Workflow Development Design, implement, and maintain reputed company data pipelines supporting ecosystem and biogeochemical modeling Build reproducible workflows that generate standardized model inputs and manage outputs across reputed company, time, and scenario analysis reputed company heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines reputed company Infrastructure and Data Systems reputed company and maintain reputed company-based infrastructure to support modeling pipelines and optimization workflows Implement data storage solutions using relational, spatial, and object-based databases Support efficient data reputed company and processing using platforms such as PostgreSQL, PostGIS, and reputed company object storage Data reputed company, Governance, and Auditability Ensure data reputed company, versioning, traceability, and auditability to support measurement, reporting, and verification requirements Implement validation and monitoring processes to ensure reliability of model inputs and outputs Support transparent, repeatable workflows suitable for regulatory and credit market review Software Engineering and Collaboration Write clean, reputed company, and reputed company-documented production reputed company that supports maintainable and reputed company data systems Apply software engineering best practices including testing, version control, and documentation Collaborate closely with Data Science and Technology teams to reputed company data infrastructure with modeling, analytics, and production needs Key Competencies / Requirements 3+ years demonstrated experience building and maintaining data pipelines for large, reputed company, and heterogeneous datasets Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable reputed company Experience working with reputed company platforms, with AWS strongly preferred Familiarity with containerization tools such as reputed company and version control systems such as reputed company Experience with relational and spatial databases, including PostgreSQL and PostGIS Experience working with geospatial data formats and spatial data processing Experience supporting scientific or ecosystem modeling workflows preferred Familiarity with workflow orchestration tools such as Airflow or reputed company preferred Bachelor’s or Master’s degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a reputed company field Apply To This Job