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A Day in the Life of a Data Analytics Engineer at MetLife Legal Plans: MetLife Legal Plans is seeking a Data Engineer to join our Data Insights team, reporting to the Senior Director of Data Insights. In this role, you…
Data Engineer owning and scaling tracking data infrastructure that captures millions of user events daily, building ELT pipelines with Python, SQL, Airflow, Snowflake, and AWS.
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 (Airflow, ETL) for a pharma loyalty-tech firm, integrating real-time pharmacy sales data with AI/ML to drive predictive insights and personalized promotions.
Manage and monitor large-scale distributed data systems like Kafka, HDFS, and Dremio while driving systems automation and CI/CD. Collaborate with engineers and traders to support the data platform powering trader analysis and insights.
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.
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.
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…
Senior Solution Architect driving enterprise, application, and solution architecture for large-scale digital transformation programs, with hands-on work in microservices, containerization (Kubernetes/OpenShift), and full-stack delivery (React/Angular, Node.js/Python) on cloud.
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.
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,…
A senior data analyst in Block’s Compliance team builds analytics and reports to quantify risks, guide regulatory strategy, and communicate findings to leaders and regulators using SQL, ETL, and visualization tools.
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.
Our mission Function Health’s mission is to empower people to live longer, healthier lives through proactive, data-driven healthcare. We aggregate and analyze comprehensive health data - including imaging, laboratory…
Senior Software Engineer at Flatiron Health building and scaling integrations with academic and health system partners to modernize oncology data infrastructure using Python, SQL, AWS, Snowflake, and ETL frameworks.
Prefect builds and operates resilient, Pythonic orchestration and MCP platforms -- Prefect OSS , Prefect Cloud , FastMCP OSS, and Horizon -- used for mission-critical workloads. Our Vision: Prefect will define…
Developer Relations Engineer at Prefect builds and maintains reference implementations, technical content, and public-facing materials for Prefect’s orchestration and agentic workflow platforms (Prefect OSS, Prefect Cloud, FastMCP, Horizon). The role blends hands-on Python development with public engagement (videos, talks, community feedback) to shape how developers adopt and understand agentic au
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