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This is a 4-month contract role for a Data Engineer to manage sales and product data within an Azure Databricks environment. The engineer will focus on mapping product sets, building data pipelines, and ensuring accurate reporting of subscription growth metrics.
The Senior QA Engineer will design and maintain scalable automated testing frameworks while leveraging AI and LLM-powered tools to enhance testing speed and coverage. This remote role involves collaborating with cross-functional teams to implement shift-left testing strategies and mentoring other QA professionals.
Design and build scalable data pipelines and cloud-based data warehouses (Snowflake) to integrate, transform, and load enterprise data for analytics and reporting.
Designs and maintains enterprise data pipelines, warehouses, and governance frameworks to support Pacific Life Re’s global back-office transformation, ensuring data-driven reporting and compliance for internal stakeholders.
Builds and scales Harvey’s data platform to enable secure, self-serve data access for product, analytics, and ops teams, focusing on Snowflake ingestion, CDC, orchestration, real-time processing, and governance for a high-growth AI-driven legal services company.
Designs, builds, and optimizes scalable data pipelines and infrastructure to integrate, process, and manage data for cloud connectivity solutions, ensuring reliability and performance in a global SaaS environment.
Build and own Harvey’s data platform—ingesting, processing, and serving data securely for AI-driven legal services, ensuring reliability, governance, and real-time capabilities.
Enterprise Applications Manager Location: Remote, United States About the Role We are seeking a highly technical and strategic Enterprise Applications Manager to join our CRM & Revenue Technology team within…
Designs and scales Honor’s AWS-native data platform to power analytics, AI, and operational decisions, using Redshift, Airflow, dbt, and Fivetran.
Staff Data Analyst at a music creator platform, building data models and dashboards, running A/B tests, and providing cross-functional analytics using SQL, BigQuery, Omni, and various BI/analytics tools.
The Senior Data Engineer will build and optimize scalable data pipelines, infrastructure, and models to support internal analytics and customer-facing data products. The role involves leveraging technologies like SQL, Python, dbt, and Snowflake to deliver trusted metrics and integrate AI-driven analytics.
About the Role This is a founding commercial hire for the US market at a Y Combinator–backed enterprise AI startup building agents that automate ERP implementations, AI rollouts, and customer onboarding. You'll…
Data Engineer building and maintaining ETL/ELT pipelines, data warehouses, and lightweight data apps in a hybrid NYC role using SQL, Python, and cloud data platforms.
The Data Engineer will design and maintain a centralized Azure-based data lake, building ETL/ELT pipelines to integrate EHR and operational data. The role involves complex data migrations, modeling, and ensuring data integrity and compliance within a healthcare environment.
Designs and maintains a cloud-based M&O platform for observability, data quality, and FinOps, integrating Azure services, Kubernetes, and automation tools to ensure system reliability and performance.
DevOps/SRE engineer building and evolving a Monitoring & Observability platform on Azure with AKS, Databricks, Kafka, and Grafana, focused on system reliability, data quality tracking, and FinOps practices.
Desde Grupo Aspasia buscamos un/a Data Engineering Manager para liderar la creación y evolución de nuestra plataforma de datos. Es una oportunidad para diseñar la arquitectura, construir un equipo y convertir los datos…
First dedicated data engineer owning the AWS-based data warehouse and pipelines, using Redshift, dbt, Python and SQL to model data for a UK property technology company.
Designs and builds scalable analytics solutions (star schemas, marts) to support business decisions across Supply Chain, Finance, Marketing, and Operations, focusing on modular, maintainable data architecture and mentoring junior engineers.
Lead Data Scientist driving ML solutions for clients, managing end-to-end engagements and mentoring teams. Involves deploying models with Python, cloud platforms, and MLOps tools.
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