Climate LLC's St. Louis, MO office seeks a Senior Research Data Engineer. This is a hybrid work-from-home position that will work closely with team members to develop and implement research data pipelines for producing data layers and storage of research data.Will also: (i) implement and maintain scalable data-intensive processing pipelines that apply geospatial data to ML/DL models; (ii) assist in the automation and processing of internal geospatial and environmental products and datasets using large amounts of geospatially referenced data; (iii) utilize Python and its libraries such as SciPy, NumPy, Pandas, Geopandas, utm, pingoui, Xarray etc., and also work with geospatial/imagery formats such as Geotiff, GeoJSON, Avro and Parquet etc.; (iv) accessing data over the AWS cloud and processing it using the distributed computing environment such as Pyspark, Scala etc.; and (v) develop POCs when necessaryfor new pipelines to be integrated to science data pipeline in collaboration with diverse research partners.

This is a hybrid office/work-from-home position that requires the employee to be able to work in our St. Louis office three (3) days per week.

Must have a Master's degree (or foreign equivalent degree) in Information Science, Computer Science, Data Science, Data Analytics, or a directly related field plus three (3) years of experience in a related position.

Experience must include three (3) years with: (i) designing, developing and testing geospatial pipelines that encompass statistical yield analysis and report generation, proven experience in design and implementation of scalable data integration & transformation for geospatial applications and interactive visualization dashboards; (ii) working with large size raster and vector geospatial datasets applied to machine learning model generation and deployment in big data environment; (iii) designing and developing packages, procedures/methods using Python, SQL/PLSQL in distributed environment; (iv) with RDBMS, SQL and No-SQL databases to perform complex transformations using tools such as Oracle, Postgres, MSSQL and solid knowledge of SQL, query optimization and OLAP; (v) using geospatial and remote sensing tools such QGIS, ArcGIS, Postgis etc. and pre-processing workflows such as yield analysis, report generation, and field prescription creation by applying GDAL, proj4, CRS, projections for geospatial experimentational design; (vi) working in a matrix/hybrid organization structure with cross-functional leadership skills as well as troubleshooting and making quick and effective decisions; (vii) Big Data technologies including Spark, Arrow and fluent in interacting with file format like Avro, Parquet, CSVs, Geotiff and GeoJSON; (viii) Amazon Webservices S3, EMR, ECS and RDS and orchestration platform like AWS Step Functions, AWS Event bridge, etc.; (ix) code versioning and dependency management systems such as GitHub, Git, GitLab with CI/CD pipelines, SharePoint and/or other repositories used by the team; and (x) waterfall or Agile methodologies in Atlassian suite or JIRA.

This is a hybrid office/work-from-home position that requires the employee to be able to work in our St. Louis office three (3) days per week.

Experience can be concurrent.

Apply at https://www.climate.com/careers/, #3534 or with reference to #3534(Senior Research Data Engineer).