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Principal Data Engineer designs and maintains self-hosted data infrastructure (PostgreSQL, MongoDB) and ETL pipelines for a game studio, ensuring scalability, security, and compliance.
Build and maintain backend systems in Go that ingest and visualize game telemetry data, enabling developers to diagnose performance issues and improve game quality.
Design and own large-scale data ingestion pipelines and backend services for analytics, reporting, and ML at a major game studio.
Build backend services for data ingestion, APIs, and connectors that integrate robotics, vision streams, and AI platforms into a scalable industrial data backbone.
Build and own large-scale backend services and real-time data pipelines that power analytics, reporting, and player engagement across Zynga’s games and platforms.
Build and improve full-stack web features using Java/Spring and React/TypeScript, working across a data-heavy product stack with MySQL, Kafka, and Elasticsearch.
Senior Data Engineer builds and improves data ingestion services for a proptech company using Java/Kotlin, AWS, and relational databases, while owning platform reliability and team growth.
Build and scale a cloud-based data platform for FGF’s EV rental and marketplace, designing pipelines, ETL/ELT, and DevOps for analytics and AI use cases.
Build and maintain scalable ETL pipelines and data flows using Python, PySpark, and SQL to support real-time and offline analytics for a large-scale brewery.
Design and build cloud-native data pipelines on GCP, enabling AI/ML initiatives and analytics for a global banking team using PySpark, Airflow, BigQuery, and Vertex AI.
Lead a backend and data engineering team to build a zero-hallucination RAG platform, designing scalable data pipelines, APIs, and distributed workflows using Python, Apache Beam, FastAPI, and Temporal.
Lead the backend and data engineering for a zero-hallucination RAG AI platform, building scalable data pipelines and APIs that fuse vector search with deterministic graph topology.
Lead backend and data engineering for a zero-hallucination RAG platform, building data ingestion pipelines and APIs that power a deterministic Truth Engine for AI agents.
Build and run a distributed data platform handling ingestion, processing, and governance for ML/AI workloads using JVM, Kafka, and Kubernetes.
Build and maintain high-performance data pipelines in Scala and Spark to process petabyte-scale datasets and deliver real-time analytics for enterprise clients.
Build and maintain high-performance Spark/Scala pipelines to migrate petabytes of data from legacy systems to modern cloud storage, ensuring data quality and ACID compliance.
Builds and maintains scalable data pipelines using Scala, Spark, and cloud storage to power analytics for a global tech company.
Build Python backend services and APIs for renewable energy trading systems, integrating with PostgreSQL, AWS, and messaging systems like MQTT/RabbitMQ.
Design and build cloud-native and on-premise data pipelines using Spark, Kafka, and cloud platforms to ingest, process, and analyze large datasets for enterprise clients.
Build and operate a cloud-native data platform on Snowflake and public cloud, owning provisioning, ingestion pipelines, transformations, governance, and cost-efficient scaling for analytics across the travel-tech company.
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