Data Engineer
- $140,000 - $150,000
- Cincinnati, OH +1
- Remote
ML SaaS in the green-tech area
A bit about us:
We are a machine learning software-based company. Our employees work remotely using our corporate offices to meet up for periodic in-house strategy and development meetings. Our application platform is built to apply our novel ML technology to the Agricultural Industry to optimize crop yields while reducing farm operational costs. Our models precisely predict what type and amounts of nutrients and hybrid seeds to purchase along with the algorithms and good-sense practices to apply them.
Why join us?
- Purpose Driven company making an impactful change
- Industry-leading executives, data science, and technical staff
- Great Benefits package w/ 401k match
Job Details
● ETL
● API building
● Develop and optimize large data-set pipelines, including cache memory, storage systems, and large data-set processing solutions.
● Develop solutions for Agronomic data-set ingestion
● Excellent communication
● Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
● Minimum of 3-5 years of experience in software development, with a focus on ETL processes and big data technologies.
AWS Glue, AWS Data Pipeline, Apache Spark, Apache Kafka, Amazon S3, Amazon Redshift, Amazon EMR, and Amazon Athena. Python, Django, JavaScript, NodeJS, Scripting, and SQL, including experience in geospatial database solutions and tools for DB development in PostgreSQL and PostGIS.
● API building
● Develop and optimize large data-set pipelines, including cache memory, storage systems, and large data-set processing solutions.
● Develop solutions for Agronomic data-set ingestion
● Excellent communication
● Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
● Minimum of 3-5 years of experience in software development, with a focus on ETL processes and big data technologies.
AWS Glue, AWS Data Pipeline, Apache Spark, Apache Kafka, Amazon S3, Amazon Redshift, Amazon EMR, and Amazon Athena. Python, Django, JavaScript, NodeJS, Scripting, and SQL, including experience in geospatial database solutions and tools for DB development in PostgreSQL and PostGIS.