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Builds and maintains scalable data pipelines for migrating/transforming financial data across systems, standardizing schemas, and enabling enterprise visibility into billions of dollars in payments. Core tech: Python/Scala/Java/C#, Databricks/Spark, cloud warehouses, ETL/ELT, and data quality tools.
We are looking for a candidate who confidently knows and understands different technologies, is able to deliver data architecture designs and recommendations, supported by both high‑level and detailed documentation, as…
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly…
Senior Data Engineer building and scaling Zip's Data & AI Platform using cloud data platforms (Snowflake, Databricks), Python, SQL, Kafka, and vector search/RAG to power analytics, ML, and GenAI workloads for a Buy Now, Pay Later company.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
Design and maintain scalable data pipelines and ETL workflows using Python, PySpark, Databricks, and AWS services to build secure, compliant data platforms for federal clients.
Position Overview: ServiceNow is seeking a highly motivated and experienced Senior Staff Software Engineer in Platform Persistence to lead a team dedicated to the meticulous management of data lifecycles within the…
Position: Sr. Java Developer Locations: Dallas, TX Duration: 6Months with possible extensions Key skills: Java, Spring, Kafka/Rabbit, SQL Responsibilities: Senior backend Java engineer experienced with microservices,…
About the Role Forward is scaling fast, and we need senior engineers who can grow with the platform — not just build features, but harden, secure, and extend the system. This role is a core contributor on our…
About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps…
Build and optimize a company-wide Data Lakehouse using Spark, Iceberg, and Hadoop to centralize B2C data, focusing on high-load batch and streaming pipelines.
Lead the architecture and evolution of PlayStation’s real-time data platform, building scalable streaming analytics with Flink, Spark, ClickHouse, and Kafka to power low-latency analytics and AI-driven automation.
Lead a greenfield data platform, build scalable pipelines, and embed AI across the data lifecycle for a hospitality-focused SaaS provider.
Builds and maintains DeepL's data infrastructure, including a Databricks-based lakehouse and Kafka ingestion systems, to enable reliable, scalable data workflows for AI-powered products and teams.
Staff engineer designing and building large-scale distributed infrastructure and platforms at LinkedIn's Bengaluru office, using Java, Python, Go, or Scala on systems like Kafka, Kubernetes, and data storage platforms.
Develops and optimizes large-scale data pipelines using Scala/Python/PySpark on Databricks/Azure, designing cloud-native Data Lakehouse architectures and ensuring scalable data processing, query efficiency, and cost optimization.
This role involves building and operating the data foundation for client AI and analytics solutions, including designing ingestion pipelines, lakehouse architectures, and governed semantic layers. The engineer will work closely with AI engineers and data scientists to ensure data is audit-ready and optimized for AI consumption.
The Senior Data Engineer will build and maintain the AWS and Snowflake data platform to support generative AI features and analytics for life sciences software. The role involves designing data pipelines, implementing data governance, and mentoring team members in a distributed global environment.
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