Senior Software Engineer in Data Engineering (Game Analytics)

TL;DR

Senior Software Engineer in Data Engineering (Game Analytics): Building and optimizing high-throughput streaming and batch data processing services for a cutting-edge game analytics platform with an accent on reliability and performance. Focus on designing event-driven architectures, evolving event schemas, and ensuring scalability and fault tolerance of ingestion pipelines under heavy load.

Location: This is a full-time, in-office position based out of Rockstar’s newly renovated game development studio in Andover, MA

Company

hirify.global creates world-class entertainment experiences.

What you will do

• Design, build, and maintain high-throughput streaming and batch data processing services.
• Develop and operate stream-based applications 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.

Requirements

• 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.

Nice to have

• 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.

Culture & Benefits

• Become part of a team working on rewarding, large-scale creative projects.
• Collaborate with talented people in an inclusive, highly-motivated environment.
• Committed to creating a work environment that promotes equal opportunity, dignity, and respect.
• Provides reasonable accommodations to qualified job applicants with disabilities during the recruitment process.
• Encourages applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.