Top Data & Analytics Jobs

Design, build, and maintain scalable ETL/ELT pipelines ingesting travel-related data from multiple sources. Integrate and model data in cloud warehouses (Snowflake/BigQuery/Redshift), implement data quality and monitoring, support real-time streaming, and ensure data governance and regulatory compliance. Collaborate with analysts, data scientists, and product teams to deliver reliable datasets for personalization, forecasting, and optimization.

Build and own customer data ingestion and large-scale pipelines powering AI workers. Design syncing, retrieval, and data lake systems, improve reliability/observability, partner with product/backend teams, and contribute across infrastructure to give AI agents access to enriched customer data.

Design logical and physical data models for large data warehouses, perform data profiling and domain modeling, optimize database performance for OLAP/BI systems, collaborate with business teams to gather requirements, and implement solutions using SSIS and Oracle/SQL.

The Data Engineer will maintain and optimize data pipelines, manage infrastructure, support ML workflows, and collaborate with teams on data products.

Lead a data platform engineering team to deliver enterprise data products and pipelines using Databricks/Medallion architecture, oversee SQL Server DBA operations, maintain platform reliability, implement observability and governance, and manage delivery, vendors, and stakeholder engagement.

Maintain and audit commercial real estate databases, perform market and property research, generate reports and trend analysis, support brokers with data for listings and presentations, assist marketing and lead-generation efforts, and perform related administrative tasks.

Lead design, implementation, and optimization of dbt-based ELT pipelines on Snowflake. Build and maintain dbt Cloud projects, implement CI/CD, enforce testing and data quality, document lineage, mentor teammates, and optimize performance and costs for analytics and downstream use cases.

Develop and execute data strategies to enhance fundraising efforts, lead analytics for donor engagement, ensure data quality, and manage a high-performing team.

The Senior Data Engineer will design and build data pipelines and infrastructure to support data science and business intelligence solutions, utilizing AWS services and streaming technologies.

The Principal Statistician will lead statistical activities for global clinical trials, focusing on biostatistics, analysis, protocol development, and team management.