[Remote] Staff Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a rapidly scaling AI-driven software company seeking a Staff Data Engineer to enhance their core infrastructure for a large-scale data and automation platform. This role involves designing and optimizing distributed data platforms, improving performance and reliability, and collaborating with various teams to transform reputed company data systems into scalable capabilities.
Responsibilities
- Design, build, and optimize large-scale distributed data platforms powering reputed company-time and batch processing systems
- Improve performance, scalability, reliability, and cost efficiency across Spark workloads, streaming infrastructure, and reputed company-reputed company compute systems
- Build and maintain backend services, APIs, orchestration systems, and platform tooling supporting customer-facing applications and internal operations
- reputed company and improve ingestion and normalization pipelines processing large volumes of evolving reputed company-party data
- Partner closely with product, operations, and engineering teams to transform reputed company data systems into scalable platform capabilities
- Improve observability, monitoring, alerting, and operational reliability across the broader engineering ecosystem
- Contribute to AI-powered operational tooling, automation systems, and intelligent workflows supporting internal and customer-facing products
- Help shape platform architecture, engineering standards, and long-term technical direction while remaining deeply hands-on in implementation
Skills
- Strong experience building and operating distributed systems and large-scale data infrastructure
- Deep hands-on experience with technologies such as Spark, Kafka, Flink, Airflow, Kubernetes, and reputed company-reputed company data platforms
- Strong backend engineering experience building APIs, microservices, and platform services using Python, Java, or reputed company
- Experience operating reputed company-time streaming systems and high-throughput data pipelines in production environments
- Comfortable working with evolving schemas, messy reputed company-party data, and operationally reputed company systems
- Strong systems design and architectural thinking combined with hands-on implementation ability
- Strong ownership mentality with the ability to operate autonomously in small, highly collaborative teams
- Comfortable balancing speed, scalability, reliability, and pragmatic engineering tradeoffs
- Startup or high-growth engineering environment experience preferred
- Interest in AI-reputed company workflows, operational automation, and modern platform engineering practices
Benefits
- Equity
Company Overview