4 дня назад
Senior Software Engineer, Data Engineering
130 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Data Engineering (Java/Scala, Python, Kafka): Building high-throughput streaming and batch data processing services for a game analytics platform with an accent on reliable ingestion, real-time transformation, and schema governance. Focus on designing fault-tolerant pipelines, evolving event-driven data contracts, and scaling cloud-native infrastructure under heavy load.
Location: Andover, Massachusetts, United States; full-time, in-office position
Salary: $130,000–$150,000 USD per year
Company
creates large-scale entertainment experiences and develops the technology foundation powering its games and online player experiences.
What you will do
- Design, build, and maintain high-throughput streaming and batch data processing services, with a focus on raw and bronze-level ingestion.
- Develop and operate stream-based applications for real-time data transformation, enrichment, validation, and routing.
- Own event schemas and data contracts, including Avro schemas and Schema Registry governance.
- Ensure scalability, fault tolerance, and performance of ingestion pipelines under heavy load.
- Contribute to deployment automation, observability, operational tooling, and CI/CD.
- Help design and implement cloud-native data infrastructure for real-time and batch workloads.
Requirements
- 5+ years of professional experience building production software systems, preferably in distributed or data-intensive environments.
- 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, Kafka Streams, or similar technologies.
- Experience with event-driven architectures, schema evolution, compatibility, and real-time or near-real-time data pipelines at scale.
- Solid understanding of distributed systems, including partitioning, fault tolerance, backpressure, and delivery semantics.
- Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices.
Nice to have
- Experience with Databricks, bronze-layer processing, or structured streaming.
- Experience deploying and scaling applications in containerized environments such as Kubernetes or AKS.
- Experience with artifact repositories, Infrastructure-as-Code, Microsoft Azure, Apache Spark, CI/CD, and automated testing.
Culture & Benefits
- Collaborative work with Data Engineers, Machine Learning Engineers, Software Engineers, Analysts, and Data Scientists.
- Work in a highly motivated, inclusive environment focused on learning and collaboration.
- Medical, financial, and other employee benefits may be included in the total compensation package.
- Additional compensation may include a bonus and/or equity awards.
Hiring process
- Submit a resume and cover letter demonstrating relevant experience.
- A Rockstar recruiter will contact selected applicants to explain the next steps.
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