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Build and scale data infrastructure for a fintech/crypto platform, focusing on payments, stablecoins, and blockchain infrastructure.
Leads the redesign of high-volume data ingestion pipelines for an automotive eCommerce platform, defining a 2-3 year architectural roadmap while ensuring reliability and scalability. Owns distributed systems, Spark/PySpark, Kafka, and cloud infrastructure (AWS/EKS) with mentorship responsibilities.
Designs and operates cloud-native platform components (Kubernetes, distributed systems) for ServiceNow’s data platform, focusing on reliability, scalability, and automation while mentoring junior engineers and collaborating with senior teams.
Build and optimize high-performance data infrastructure for Brex’s fintech platform, focusing on distributed systems, query performance, and AI-powered reporting tools in Kotlin/Java.
Build and scale the data platform that ingests, processes, and serves telemetry and sensor data from a fleet of humanoid robots, using Spark, Kafka, OpenTelemetry, and cloud tools.
Build and scale an event streaming platform with Kafka and Flink to power AI applications at a global fintech company.
Lead the design and scaling of a cloud-based data pipeline to ingest and transfer large volumes of sensor data from partner vehicles using Azure.
Build and scale Yoto’s data platform to power analytics and insights across the business, owning GKE infrastructure, pipelines, and governance while mentoring a mid-level engineer.
Lead the architecture and hands-on development of a next-gen streaming and analytics platform for a fast-growing fintech company, using Kafka, Spark, Flink, and Snowflake to process billions of financial events.
Build and scale a large-scale event streaming platform using Kafka, Flink, and cloud tools to power AI use cases and data products for a global fintech company.
Leads Azure-based data platform design, governance, and delivery; translates high-level plans into technical blueprints and mentors engineers on best practices.
Leads the design and implementation of data-quality, observability, and governance frameworks to ensure accurate, compliant data across teams.
Lead data-quality, observability, and governance initiatives for a fashion marketplace, building frameworks to ensure reliable, compliant data using Python, Java, or Scala.
Lead modernization of large-scale data pipelines using PySpark, Python, AWS Glue, Spark, and Airflow in a regulated environment.
Staff Data Engineer modernizing large-scale cloud data pipelines using PySpark, AWS Glue, and AI-assisted tools to set engineering standards and drive scalable data solutions.
Lead the architecture and scaling of Corecom’s data platforms, designing pipelines and warehouses on AWS/Azure while mentoring engineers and ensuring reliability and governance.
Staff Data Engineer at EasyPark builds and scales ML pipelines in Python/Spark on AWS to power global driver-facing products.
Define and implement the data engineering strategy for Spotify’s Subscriptions domain, building scalable platforms to support global analytics and experimentation for millions of users.
Builds and scales Veza’s identity-security Access Graph platform, modeling permissions and data flows across SaaS, cloud, on-prem, and custom apps.
Responsibilities Job Summary: As a Staff Data Engineer, you'll lead, coach, and mentor engineers and teams and provide technical direction and support. You'll collaborate with Product, Data Science, Application, and…
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