> Markdown version of [/jobs/ext/2403176-senior-software-engineer-data-engineering-new](https://www.wearedevelopers.com/jobs/ext/2403176-senior-software-engineer-data-engineering-new). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Software Engineer, Data Engineering New

- **Company:** Rockstar Games
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $121,400.0 - $161,800.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Automation of Tests, Microsoft Azure, Continuous Integration, Information Engineering, Serialization, Distributed Systems, Fault Tolerance, Protocol Buffers, Python (Programming Language), Apache Maven, Cloud Services, Data Processing, Data Ingestion, Delivery Pipeline, Apache Spark, Backend, Event Driven Architecture, Containerization, Kubernetes, Deployment Automation, Avro, Real Time Data, Apache Kafka, Terraform, Stream Processing, Data Pipelines, Databricks, Artifactory
- **Published:** August 18, 2026
- **Apply:** https://www.gamesjobsdirect.com/job/rockstar-games-new-york-new-england/senior-software-engineer-data-engineering/355169

## About the Role

* 5+ years of professional experience building production software systems, preferably in a distributed or data-intensive environment.
 * Strong experience with Java (and/or Scala) as well as Python, in backend or data processing applications.
 * Experience designing and operating streaming systems using Kafka or Kafka Streams (or similar).
 * Experience working with event-driven architectures, including schema evolution and compatibility.
 * Experience building real-time and/or near-real-time data pipelines at scale.
 * Solid understanding of distributed systems concepts (partitioning, fault tolerance, backpressure, exactly-once/at-least-once semantics).
 * Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices., * 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 the Microsoft Azure cloud ecosystem.
 * Familiarity with Apache Spark.
 * Familiarity with CI/CD pipelines, automated testing, and deployment workflows.

## Description

* 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.


## Related Videos

- [Building the platform for providing ML predictions based on real-time player activity](https://www.wearedevelopers.com/videos/944-building-the-platform-for-providing-ml-predictions-based-on-real-time-player-activity)
- [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [From event streaming to event sourcing 101](https://www.wearedevelopers.com/videos/91-from-event-streaming-to-event-sourcing-101)
- [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers)
- [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)
- [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)