Senior Software Engineer (Data Engineering)

Rockstar Games is seeking a Senior Software Engineer in Data Engineering to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance In collaboration with Data Engineers, Machine Learning Engineers, and other Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders The Rockstar Games Online Services team builds the technology foundation that powers our games and delivers world-class player experiences Our Data Engineering group manages petabyte-scale data, integrating dozens of streaming and batch sources with strict requirements for reliability, compliance, and low-latency processing We approach data engineering with the rigor of software engineering by applying modern practices such as clean architecture, modular design, and automated testing Our focus is on building scalable, reusable platforms and frameworks that enable our partners in Data Science and Game Development to deliver insights and unlock new possibilities for players Design, build, and maintain high-throughput streaming and batch data processing services, with a primary focus on raw and bronze-level ingestion Develop and operate stream-based applications responsible for real-time data transformation, enrichment, validation, and routing Own and evolve event schemas and data contracts, including Avro schemas and Schema Registry governance Ensure scalability, fault tolerance, and performance of streaming and ingestion pipelines under heavy load Contribute to platform-level concerns such as deployment automation, observability, operational tooling, and CI/CD Participate in the design and implementation of cloud-native data infrastructure supporting real-time and batch workloads Strong experience with Java (and/or Scala) as well as Python, in backend or data processing applications Experience working with event-driven architectures, including schema evolution and compatibility Experience designing and operating streaming systems using Kafka or Kafka Streams (or similar) Solid understanding of distributed systems concepts (partitioning, fault tolerance, backpressure, exactly-once/at-least-once semantics) 5+ years of professional experience building production software systems, preferably in a distributed or data-intensive environment Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices Experience building real-time and/or near-real-time data pipelines at scale Experience with Databricks, particularly for ingestion, bronze-layer processing, or structured streaming Experience deploying and scaling applications in containerized environments (e.g., Kubernetes, AKS) Experience working with artifact repositories (e.g., Artifactory, ProGet, Maven repositories) Experience with Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles) Familiarity with Apache Spark Familiarity with the Microsoft Azure cloud ecosystem Familiarity with CI/CD pipelines, automated testing, and deployment workflows#J-18808-Ljbffr