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Build and maintain a cloud-hosted dashboard for water-quality monitoring and algae-control systems, using Python backends, REST APIs, relational databases, and AWS infrastructure.
Build and scale data platforms for heat-asset monitoring and optimization in Eneco’s push to become CO₂-neutral by 2035, using Python, Snowflake, PostgreSQL, and Kubernetes.
Build full-stack Android predictive-maintenance features using Kotlin, Compose, and ML models (TensorFlow/PyTorch) to detect hardware/software issues before they occur, spanning device kernel to cloud.
Build and maintain scalable Python web apps and REST APIs using Django/FastAPI, deploy on Azure, and optimize databases and CI/CD pipelines.
Builds scalable, cloud-native Java services for a risk-compliance platform used by financial institutions, focusing on distributed systems and real-time analytics.
Builds and maintains Java-based data pipelines and ETL processes, working with big data tools like Spark and cloud platforms to ensure data quality and performance.
Build and maintain Python-based data pipelines and services using Kafka, Hadoop, Docker, and Kubernetes, ensuring scalable ingestion, processing, and secure storage for production systems.
Build and maintain data pipelines in Python to ensure high-quality B2B lead data for a fast-growing marketing platform.
Build and maintain scalable RESTful APIs and data pipelines in Python using Django/FastAPI, Azure/AWS, and pytest, handling both relational and NoSQL databases.
Builds and maintains scalable data pipelines using Lakehouse/Lakeflow architectures, job orchestration, and ETL/ELT workflows to support analytics and reporting.
Backend internship integrating telematics data sources and optimizing distributed ingestion infrastructure for a fleet-focused data platform.
Build and scale the backend of an AI runtime platform that autonomously evolves applications, using Go/Kotlin/Java/Rust, PostgreSQL, Redis, and cloud services.
Build and scale the backend platform powering real-time conversational AI for consumer apps, focusing on graph-based AI computations, multimodal services (TTS, LLM, STT), and telemetry-driven personalization.
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.
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