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Build and maintain scalable data pipelines and ML workflows on GCP, deploying models from notebooks to production using orchestration tools like Airflow.
Lead a team of ~10 data platform engineers to build scalable data infrastructure for AI research and production, using Spark, Flink, Airflow, Kafka, and lakehouse formats like Iceberg.
Build and maintain data pipelines, warehouses, and reporting systems for a GovTech platform serving government agencies and residents.
Build and deploy agentic workflows for data engineering teams, enabling AI-assisted modeling, pipeline automation, and analytics while driving adoption across HR-tech product engineering.
Builds and maintains data pipelines to ingest, transform, and serve large-scale economic/industrial datasets for an AI system forecasting global business impacts.
Own the data platform end-to-end at an AI marketing startup—ingesting, transforming, and quality-checking marketing data at scale using Python and tools like Dagster, ClickHouse, and Kafka to power multi-agent AI systems.
Data Engineer IV designing, building, and maintaining ETL/ELT pipelines, dimensional models, and Neo4j graph database solutions (Cypher) to enable reliable, scalable data for business analytics and decision-making.
Build and maintain secure, auditable data pipelines for a fintech/edtech platform supporting entrepreneurs, including entity resolution and governance controls.
Design, build, and operate data pipelines for structured and unstructured data using Python and SQL on AWS, supporting analytics, AI/ML, and document processing solutions for federal government clients.
Data Engineer building an on-premises data platform using Kubernetes, Python, Golang, and SQL, focusing on batch/streaming pipelines and platform automation in a hybrid role in Dresden.
GetTransfer ищет опытного Data Engineer для работы над долгосрочными технологическими проектами в Ташкенте. В периметре компании — широкий спектр проектов: от RightTech и mobility до fintech и других технологических…
Lead Data Engineer designing, building, and scaling data ingestion, anonymization, and enrichment pipelines for a library of real-world business workflow datasets, using Python, SQL, and orchestration tools like Airflow/Dagster/dbt.
Senior Data Engineer building and optimizing Snowflake data warehouses, ELT pipelines, and SQL-based solutions to support analytics and finance use cases at a fintech lending platform.
Design, build, and maintain scalable, secure web applications, APIs, and data pipelines using React/Vue/Angular, Node.js, and Python for enterprise and government clients as part of a consulting firm.
Designs and builds data models and pipelines for a clinical lab, using dbt, Airflow, and cloud warehouses to turn lab operations into analytics-ready data products.
Designs scalable data architectures, builds robust ETL/ELT pipelines, optimizes query performance, enforces data quality/gov, automates workflows, and mentors junior engineers for a French IT services firm specializing in cybersecurity, cloud, and data.
Build and maintain scalable data pipelines and warehouses for government digital services using Python, SQL, AWS, and Spark to transform raw data into actionable insights.
Build and maintain a multi-agent AI system that automates performance media trading decisions for charity and nonprofit clients, focusing on agent development, data integration, and evaluation-first workflows.
Ключевые задачи: Строить пайплайны выгрузки данных из систем заказчика: PostgreSQL, Oracle, Hive-таблицы, Kafka-топики, файлы, API; Разрабатывать и сопровождать DAG'и в Airflow - инкрементальная загрузка, ретраи,…
The Data Engineering Tech Lead will architect and build Nimble's core data infrastructure, including storage, caching, and indexing systems. This role involves leading technical strategy for data scalability and mentoring engineering teams to support real-time web search and AI data pipelines.
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