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Senior Software Engineer II - Data Onboarding & Reporting
Build and scale Trino/Iceberg-based data pipelines for Wise’s finance team, transforming raw financial events into audit-ready reports using Medallion Architecture and Kafka.
Lead Software Engineer, Customer Data Platform
Lead a team building Grab’s Customer Data Platform, enabling real-time personalization, ML, and ad targeting by processing billions of events per hour with Python, Go, and distributed systems.
Senior Backend Engineer - Hybrid, Scalable Data Systems
Senior Backend Engineer building scalable data systems handling trillions of records and high-volume queries for the Department of Defense using APIs, Trino, Keycloak, Kubernetes, and CI/CD.
Data Platform Administrator / Engineer
Administers and engineers a modern data platform using Cloudera, Kafka, Databricks, and Azure Synapse, focusing on Lakehouse architectures and performance tuning.
DLH Support Engineer - 24x7 Data Lakehouse Ops
Mobilink Bank is seeking a DLH Support Engineer to monitor, triage, and resolve issues across our Data Lakehouse pipelines. The role covers 24x7 operations with night/weekend shifts, focusing on Iceberg/MinIO/Trino…
Data Analyst/QA Engineer
Build and run automated data-quality checks and QA tests for government ETL pipelines using AWS Glue, Deequ, and Python, ensuring zero data loss and compliance.
Software Engineer (Data Platform)
Build and maintain a scalable data platform using Trino, Redshift, BigQuery, and Apache Iceberg to power security analytics and remediation.
Data Platform Engineer — Scalable Lakehouse & Observability
Build and maintain scalable data infrastructure using Trino, Redshift, BigQuery, and Apache Iceberg for analytics engines and Lakehouse environments.
Software Engineer (Data)
Build and maintain data pipelines and platforms in Python/SQL to make data reliable and accessible for teams, using tools like Airflow, Spark, and Snowflake.
Software Engineer (Data)
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.
VP Senior Applied AI Full-Stack Engineer
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.
VP Senior Applied AI Full-Stack Engineer
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.
Big Data Site Reliability Engineer - Computer Platform
Maintain and automate operations for ByteDance’s high-performance analytical database, ensuring stability and scalability for PB-level data workloads.
Data Infra Platform Engineer
Build and operate a scalable, self-service data platform on Kubernetes using Terraform, Kafka, Iceberg/Trino, Airflow, and Azure services, ensuring reliability, governance, and FinOps.
First VP, Senior Data Engineer, Group Technology & Ops
Lead the design and build of enterprise-scale data platforms and AI-ready data assets for a major bank, using Spark, Kafka, Iceberg, and cloud-native tools.
Full Stack Engineer, Growth
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.
Expert Backend Engineer (LLM, Big Data Product Application) - Data Infra Team
Build and own AI-native data products that turn natural-language questions into SQL, dashboards, and insights using LLM pipelines, backend services, and big-data infra.
Data Platform Engineer - GTech
Build and maintain scalable, secure big-data infrastructure using Hadoop, Spark, Kafka, and cloud-native services to support analytics and pipelines.
Middle Software Engineer (Java/C++) — Query Engine / Data Platform
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.