MongoDB is growing rapidly and seeking a Data Engineer to be a key contributor to the overall internal data platform at MongoDB. You will build data-driven solutions to help drive MongoDB's growth as a product and as a company. You will tackle complex data-related problems using very diverse data sets. Several programming languages (Python, Scala, Java, etc.). Data processing frameworks like Spark. Streaming data processing frameworks like Kafka, KSQ, and Spark Streaming. A diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc. Different storage formats like Parquet, Avro, Arrow, and JSON. AWS services such as EMR, Lambda, S3, Athena, Glue, IAM, RDS, etc. Orchestration tools such as Airflow, Luiji, Azkaban, Cask, etc.