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Build and enhance cloud-native full stack apps using Node.js, React, and AWS serverless services like Lambda and DynamoDB.
Senior Data Engineer builds and maintains the Snowflake/dbt pipeline that powers Sovos’s US financial close, transforming billing and revenue data into close-ready outputs for FP&A and leadership.
Design and maintain a Snowflake-based financial data pipeline for a global tax-compliance SaaS, using dbt to transform billing, revenue, and close data for finance teams and AI consumers.
Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen…
Build a scalable cloud data platform from scratch, including ingestion, transformation, and serving layers, while ensuring HIPAA and GDPR compliance.
Build and maintain a data-privacy orchestrator that enforces GDPR-compliant handling for 1M+ health-insurance members across new markets.
Build and maintain data pipelines, data marts in BigQuery with DBT, and dashboards in Tableau to power healthcare insights and AI strategy at a leading health-tech company.
Build and maintain data pipelines in Python (Dagster) and SQL/Jinja (DBT) to power analytics and AI at Doctolib, a healthcare platform.
Design and maintain scalable data pipelines and architectures (ETL/ELT, data lakes, warehouses) using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure).
Design and operate a secure, GDPR-compliant data lake for identity verification and AI research, building storage, APIs, and orchestration tools that handle sensitive biometric and KYC data at scale.
Build and maintain scalable data pipelines and infrastructure for a healthcare-focused cloud platform, transforming raw data into actionable insights using Python, SQL, and cloud-native tools.
Builds and maintains AI-powered data pipelines and BI dashboards in Python and Dagster, ensuring GDPR compliance for healthcare decision-making.
Build and optimize large-scale data pipelines and distributed systems using Spark, Databricks, and AWS to power AI-driven B2B intelligence products.
Build and scale a modern data platform for a healthcare-focused company, designing cloud infrastructure, pipelines, and governance while ensuring HIPAA/GDPR compliance.
Designs and optimizes cloud data pipelines for payment streams, ensuring GDPR compliance and secure data infrastructure to support AI initiatives.
Administers and secures OpenShift clusters, automating deployments and lifecycle tasks with Ansible/Terraform/Helm to keep containerized workloads running smoothly.
Build and maintain Node.js/TypeScript microservices on AWS serverless (Lambda, DynamoDB) to manage CRM customer data, including GDPR retention and data-quality pipelines.
Build and scale the back-end of a digital sleep clinic using Python, Django, and PostgreSQL, ensuring HIPAA/GDPR compliance while integrating with healthcare partners.
Build and optimize scalable backend services in Java/Spring Boot, designing robust data architectures with PostgreSQL, MongoDB, Kafka, and Redis while ensuring high availability and clean code practices.
Build and scale a cloud-native data platform on AWS, driving real-time analytics, personalization, and AI-powered data products for millions of users.
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