
Software Engineer
Our Take
Build a petabyte-scale data platform for AppsFlyer, processing 150B+ events daily.
What you’ll do
- Design, build, evolve large-scale data pipelines
- Develop and maintain Spark/Scala batch/streaming workflows
- Own data platform reliability, quality, performance
- Collaborate to define and deliver data solutions
- Shape engineering standards and operational practices
What they’re looking for
- 3+ years software engineering experience
- Strong Scala and/or Java development
- Proven Spark and Kafka experience
- Hadoop ecosystem experience
- Hands-on AWS experience (S3, EMR)
- Experience with high-scale distributed systems
What you get
- Health Insurance
- Unlimited Vacation Days
- Meals Reimbursement
- Sport Reimbursement
- Mental health program
- Team building activities
- Paid sick days
- Brand-new Mac laptop with 2 monitors
Skills & Focus Areas
- Spark
- Kafka
- Scala
- Python
- AWS
- S3
- EMR
- Hadoop
As posted by Appsflyer
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, Python (team focus), 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 data platform reliability, quality, and performance in production environments.
- Collaborate with engineers, product owners, and stakeholders to define and deliver robust data solutions.
- Help shape engineering standards and operational practices as the DataOS team grows.
What You Bring:
- 3+ years of software engineering experience, with strong hands-on Scala and/or Java development.
- Strong Java core fundamentals.
- Proven experience with Spark and Kafka in production environments.
- Experience with the Hadoop ecosystem and distributed data processing platforms (AWS, GCP, Azure, CDP, MapR, or similar).
- Hands-on AWS experience, especially with S3 and EMR/EMR Serverless (Athena is a strong advantage).
- Experience building and operating cloud-based, high-scale distributed systems.
- Strong analytical and interpersonal skills, with the ability to work effectively across engineering and business teams.
- Professional spoken and written English.
Bonus Points:
- Knowledge of Scala is a plus.
- Experience with AWS authentication/authorization and cloud security fundamentals.
- Experience with CI/CD pipelines and tooling.
- Experience with DevOps and infrastructure-as-code tools (e.g., Terraform).
- Experience in SaaS product companies.
- Referred by an AppsFlyer employee.
Benefits:
- Health Insurance
- Paid Unlimited Vacation Days + all national holidays + additional recharge days
- Meals Reimbursement
- Sport Reimbursement
- Breakfast in the office
- Mental health program
- Team building, happy hours, and other team activities
- Paid sick days
- Snacks, fruits & ice cold beer
- All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package
Position number - 2762
As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.