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Build and maintain PRYPCO’s data platform, designing reliable pipelines and tools to make data accessible for teams using Python, SQL, Airflow, Spark, and Snowflake.
Build interactive FinTech dashboards and reporting engines with Angular/React and Java/Spring Boot, while creating MCP tools to let AI agents securely query enterprise data via Starburst and other systems.
Build interactive financial dashboards and AI-driven data tools for bankers and traders using Angular, React, Java/Spring Boot, and Starburst, while creating MCP servers to let LLMs securely query enterprise data.
Build and ship growth experiments and features for Stripe’s fintech platform, using Ruby, React, and ML-driven recommendations to improve merchant onboarding and engagement.
Build and maintain scalable, secure big-data infrastructure using Hadoop, Spark, Kafka, and cloud-native services to support analytics and pipelines.
Middle Software Engineer builds and optimizes a distributed SQL query engine for a large-scale data lakehouse platform, using Java/C++ and cloud-native tools to process analytical workloads across heterogeneous data sources.
Build and maintain DevRev’s AI-ready data platform, designing scalable pipelines and optimizing databases to power real-time insights and agentic actions for global teams.
Builds and maintains high-volume data pipelines and backend services at scale using Java, cloud infrastructure, and distributed processing tools like Apache Beam, Spark, and Kafka.
Senior data engineer building and maintaining scalable data pipelines and cloud infrastructure for an online education platform using Python, AWS, and dbt.
The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration Management, CI/CD, Automation, AWS, Linux systems administration, Scripting in Bash and Programming in…
Analyze 770M user interactions and 100TB adtech data to build dashboards, detect anomalies, and guide A/B tests using SQL, Python, Trino, and Tableau.
Senior Data Analyst designs A/B tests and analyzes 770M user interactions to optimize adtech growth, using SQL, Python, Trino, and Tableau.
Design and build scalable data pipelines and warehousing for AI infrastructure, using tools like Dagster, dbt, Snowflake, and Tinybird to support analytics and ML workloads.
Lead the design and implementation of low-latency, high-concurrency data pipelines and streaming platforms (Apache Flink, Redis) for Citi’s Fixed Income trading systems, coaching engineers and driving cloud-native microservices in Java/Python.
Designs and delivers end-to-end big data solutions for global enterprises, modernizing architectures and leading cloud migrations for industries like e-commerce, gaming, and fintech.
Lead the architecture and engineering of Citi’s global data and reporting platform, integrating federated query engines, BI tools, and AI-enabled interfaces while driving platform rationalization and adoption of generative AI tools.
Build and maintain large-scale data pipelines and analytics platforms using Hadoop, Spark, and related big-data tools to process and analyze massive datasets for enterprise clients.
Principal engineer leading Nike’s next-gen marketing data platforms, analytics engineering, and AI-driven insights to power global paid media, consumer engagement, and ad-tech systems.
Lead a Solutions Engineering team to drive adoption of Apple’s Data Platform, architecting large-scale data, AI, and LLM solutions while bridging engineering and executive stakeholders.
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