Software Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Software Engineer Kyiv 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

Read the full description at careers.appsflyer.com. FewerJobs shows a preview and links to the original posting.