[Remote] Staff Data Engineer

Note: The job is a remote job and is open to candidates in USA. People In AI 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 complex data systems into scalable capabilities.ResponsibilitiesDesign, build, and optimize large-scale distributed data platforms powering real-time and batch processing systemsImprove performance, scalability, reliability, and cost efficiency across Spark workloads, streaming infrastructure, and cloud-native compute systemsBuild and maintain backend services, APIs, orchestration systems, and platform tooling supporting customer-facing applications and internal operationsDevelop and improve ingestion and normalization pipelines processing large volumes of evolving third-party dataPartner closely with product, operations, and engineering teams to transform complex data systems into scalable platform capabilitiesImprove observability, monitoring, alerting, and operational reliability across the broader engineering ecosystemContribute to AI-powered operational tooling, automation systems, and intelligent workflows supporting internal and customer-facing productsHelp shape platform architecture, engineering standards, and long-term technical direction while remaining deeply hands-on in implementationSkillsStrong experience building and operating distributed systems and large-scale data infrastructureDeep hands-on experience with technologies such as Spark, Kafka, Flink, Airflow, Kubernetes, and cloud-native data platformsStrong backend engineering experience building APIs, microservices, and platform services using Python, Java, or ScalaExperience operating real-time streaming systems and high-throughput data pipelines in production environmentsComfortable working with evolving schemas, messy third-party data, and operationally complex systemsStrong systems design and architectural thinking combined with hands-on implementation abilityStrong ownership mentality with the ability to operate autonomously in small, highly collaborative teamsComfortable balancing speed, scalability, reliability, and pragmatic engineering tradeoffsStartup or high-growth engineering environment experience preferredInterest in AI-native workflows, operational automation, and modern platform engineering practicesBenefitsEquityCompany OverviewAt People in AI, we specialize in staffing solutions for the rapidly expanding AI sector. It was founded in 2023, and is headquartered in New york , New York, US, with a workforce of 2-10 employees. Its website is https://www.peopleinai.com/.