Build reliable data systems remotely at Intrinsic Development using Python, SQL, and modern ETL pipelines. Daily AI use shapes this engineering work.
As a Data and AI Engineer, you will build and operate data platforms in a product-led workplace. The work includes ETL and ELT pipelines, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark. You will also work with AWS, Docker, and Terraform.
Key Responsibilities
Build and operate reliable ETL and ELT pipelinesDevelop and maintain modern data platform systemsUse AI daily while experimenting and learning quicklyBalance quality with delivery needs pragmaticallyCollaborate effectively with teammates and stakeholdersRequirements:
Two or more years of Data Engineering experienceExperience working on data platformsExperience with Python, SQL, or similar technologiesExperience with modern data stack technologiesCuriosity, ownership, and eagerness to accept feedbackApply your Data Engineering, pipeline development, and AI-first approach to reliable systems at Intrinsic Development remotely.
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