Note: The job is a remote job and is open to candidates in USA. Hirewell is seeking Senior Data Engineers to support the development and scaling of a modern data platform for high-volume, real-time workloads. The role focuses on building Lakehouse architecture, developing batch and event-driven pipelines, migrating workloads to modern infrastructure, and owning solutions through production.
Responsibilities
- Design and build scalable batch and real-time data pipelines
- Help develop and evolve a modern Lakehouse data platform
- Build event-driven solutions using Spark, Kafka, and Flink
- Migrate existing workloads onto new data infrastructure
- Develop near real-time data collection and processing solutions
- Help establish engineering standards and best practices
- Own solutions throughout the development lifecycle, from design through production
Skills
- • 8+ years of software or data engineering experience
- • Strong Python development skills
- • Deep hands-on experience with Spark, Kafka, and/or Flink
- • Experience building high-volume batch and event-driven data platforms
- • Strong understanding of data structures and algorithms
- • Experience with modern Lakehouse architectures and high-volume data modeling
- • Experience owning engineering solutions from concept through production
- • Iceberg or Delta Lake
- • Airflow, Argo, Polaris, or OpenMetadata
- • Java, REST APIs, or service-oriented architectures
- • Consulting or large enterprise engineering experience
Benefits
- Remote work
Company Overview