Block
Senior Software Engineer, Data Enablement
Vaga remota de 10418 Engineering - Data & Data Science com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Senior Software Engineer, Data Enablement
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
You Will
- Become the subject-matter expert for Block's online data projections and event-streaming capabilities — designing the platform, frameworks, and standards others build on
- Lead the technical direction for real-time, event-driven data systems used by business units across Block
- Build and operate streaming pipelines and projection frameworks on high-volume event data
- Partner with engineering teams across Block to turn Kafka event streams into reliable, low-latency data products
- Improve the reliability, observability, and data quality of streaming systems running in production
- Mentor engineers on the team and shape platform architecture and standards
- Contribute to and grow familiar with the team's other domains over time — supporting our third-party data proxy backend applications, graph data store capabilities, and offline batch data projections
You Have
- 8+ years of professional software engineering experience (or Block equivalent, as referenced in go/levels)
- Deep experience designing and operating distributed, high-throughput backend systems in production
- Hands-on experience with event-driven architecture and streaming platforms such as Kafka
- Experience building streaming or real-time data systems; hands-on experience with Spark Structured Streaming or Flink is strongly preferred
- Proficiency in a JVM language such as Kotlin, or a comparable backend or systems programming background
- Experience building on cloud infrastructure, ideally AWS
- A track record of leading technical projects and mentoring other engineers
- Bonus points for a data engineering background (building data pipelines, lakehouse or warehouse modeling, or large-scale batch and streaming systems)
Technologies We Use and Teach
- Kafka, Spark, Spark Structured Streaming, Iceberg, Databricks, Snowflake, dbt, Prefect, block-forge, DataHub, Kotlin, AWS, CloudEvents
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