Software Engineer

The DataOS team at AppsFlyer is building and operating a reliable, high-scale data platform that powers analytics and product capabilities across the company.
We process more than 150 billion events per day and manage petabyte-scale historical data. Our team owns much more than a traditional "data lake" - including schema management, ETL pipelines, and interfaces to and from storage.

If you're excited by scale, ownership, and building production-grade data systems, we'd love to meet you.

Tech stack highlights

Key technologies include:

• Processing and streaming: Spark, Kafka
• Data lake and formats: S3, Parquet, Delta Lake, Iceberg, Hadoop, Hive
• Cloud and compute:** AWS, EMR/EMR Serverless, Athena
• Analytics and data platforms:** BigQuery, BigLake, Aerospike, AWS Glue, Databricks Delta Engine
• Languages: Scala, Java, plus a broader polyglot engineering environment across AppsFlyer

What you’ll do:

• Design, build, and evolve large-scale data pipelines from raw ingestion to production-ready datasets.
• Develop and maintain Spark/Scala-based data processing workflows for both batch and streaming use cases.
• Own