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The Senior Manager of Data Engineering will lead a team to design and maintain scalable ETL/ELT pipelines and data warehouse models. The role focuses on technical strategy, data governance, and cross-functional collaboration using Python, SQL, and cloud-based data platforms.
The Senior Analytics Engineer will build and optimize data pipelines using dbt, Airflow, and ELT practices while developing Power BI dashboards. The role requires extensive experience in data modeling and Snowflake to support analytics and reporting.
The Analytics Engineer will build and maintain data pipelines using dbt, Python, and Airflow while developing Power BI dashboards and data models. The role requires extensive experience in SQL, cloud data warehousing, and dimensional modeling to support business reporting and data quality.
Junior Data Engineer operating and supporting GCP-based data pipelines, monitoring Cloud Composer/Airflow orchestrations, and resolving production incidents to ensure data reliability.
The Data Platform Engineer will design and build production-grade data pipelines and systems to support analytics and AI initiatives. The role involves managing core platforms like Snowflake, dbt, and Dagster while driving data reliability and self-service tooling for the organization.
The Junior Data Engineer will build and maintain data pipelines on Google Cloud Platform, using Cloud Composer (Airflow) to monitor data flows and ensure platform reliability. The role involves collaborating with cross-functional teams to support analytics and data science initiatives.
The Lead Data Engineer will manage healthcare payer data pipelines, including ingesting and standardizing claims data and maintaining Snowflake infrastructure. The role requires extensive experience with Python, Dagster, and SQL to collaborate with finance and account management teams.
Designs, maintains, and optimizes data pipelines for healthcare claims/membership data in Snowflake, ensuring data quality and timeliness while mentoring engineers and collaborating with cross-functional teams.
The Senior Platform Data Engineer will manage clinical data pipelines and RAG infrastructure using Databricks and vector databases to support AI model training. The role focuses on streaming healthcare data, maintaining feature stores, and ensuring robust data governance within a clinical environment.
The Platform Data Engineer will stream clinical data into Databricks to curate feature tables for AI training and manage RAG infrastructure, including vector databases and retrieval pipelines.
A senior backend engineer designing distributed systems for Zerion's Web3 products, working with Web3 infrastructure and API clients to deliver secure, scalable services.
Senior DevOps Platform Engineer supporting and administering enterprise DevOps tools (GitHub Enterprise Cloud, Harness CI/CD, JFrog Artifactory), designing reusable pipeline templates, and enforcing platform governance standards.
Senior DevOps Platform Engineer in Dubai supporting and extending an enterprise DevOps stack (GitHub Enterprise Cloud, GitHub Actions, Harness CI/CD, JFrog Artifactory), defining standards for repos, pipelines, governance, and IAM, and automating with scripting and IaC tools.
Builds scalable web apps in TypeScript/Node.js and Angular, designing RESTful APIs, responsive UIs, and contributing to agile development with testing and code reviews.
Build full-stack features for web and mobile using React/React Native, and develop scalable backend services with C#, TypeScript, and Ruby on Rails in AWS microservices environments.
Build scalable web applications using TypeScript, Node.js, and Angular 9+; design RESTful services, implement responsive UI, and contribute to an agile team with prototyping, testing, and code reviews.
Leads front-end and full-stack development for a sustainability-focused e-commerce company, shaping user experiences, ensuring performance/accessibility, and maintaining high-quality code across the tech stack.
The Senior Full-Stack Java Developer will modernize applications and lead cloud migrations within Agile teams. The role focuses on Java/J2EE, Spring Boot, and Angular development, utilizing AWS cloud infrastructure.
The Backend Java Engineer will design, develop, and maintain scalable microservices using Java and Spring Boot. The role involves collaborating with remote teams to build robust, secure, and performant systems within an AI-driven environment.
The Backend Java Developer will design and maintain scalable microservices using Java and Spring Boot for an AI-focused company. The role involves collaborating with remote teams to build robust, high-performance systems and optimizing backend architecture.
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