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Build and maintain production-grade data pipelines, models, and integrations for analytics, AI tools, and embedded products at a modern estate-planning fintech.
Build and maintain data pipelines, transform raw data into Snowflake analytics, and secure data flows with CDC, IAM, and encryption for regulated clients.
Builds and maintains real-time streaming infrastructure for vehicle telemetry and AI/ML platforms using Kafka/Redpanda and Flink in a cloud-native environment.
Build and operate a near-real-time data platform using Kafka, Kubernetes, and Snowflake, designing pipelines, governance tools, and CI/CD for ETL/ELT.
Build and maintain scalable Big Data pipelines using Debezium, Kafka, Spark, NiFi, and Iceberg to move and process data from source to analytics-ready layers.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform operational data into a governed Lakehouse architecture for analytics and business services.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze/Silver/Gold layers.
Design and build BI systems for public-sector data, including ETL pipelines, SQL databases, and Metabase dashboards to drive decision-making.
Builds and maintains AWS-based lakehouse and real-time data pipelines using Debezium, Kafka, PySpark and SQL to deliver trusted datasets for business users.
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Build and maintain Java/Spring Boot microservices and data flows for financial crime prevention, integrating systems with Kafka, PostgreSQL, and Kubernetes in a hybrid, international team.
Staff Data Engineer builds and governs scalable data systems (Snowflake, Postgres, Kafka) to power TCGplayer’s marketplace, ensuring reliable, secure, and well-tested data flows across warehouse and application platforms.
Build and scale high-throughput data pipelines and infrastructure for Lime’s global micromobility fleet, enabling analytics, ML models, and real-time business intelligence using Python, SQL, Spark, and cloud tools.
Lead architecture and delivery of cloud-native, event-driven banking systems in Java/Spring, defining scalable, secure microservices and mentoring senior engineers.
Build and operate standardized on-prem infrastructure for AI-powered healthcare solutions, automate deployments, and ensure secure, reliable hospital installations.
Builds standardized hospital data pipelines and warehouses for an AI-driven healthcare platform, normalizing EMR data and enabling global reuse across products.
Build and own an automation-first QA function for a regulated fintech platform: pytest-based API, contract, and integration tests for Python/FastAPI backend, Kafka/Redpanda, Temporal, and PostgreSQL 17, plus E2E flows for React/TypeScript SPA and iOS SwiftUI.
Builds and optimizes data pipelines for regulatory reporting in banks using Python, ETL tools, and big-data tech like Spark and Kafka.
Senior Data Engineer builds and owns Preply’s scalable data lake and ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features across 180 countries.
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