Top Data & Analytics Jobs

Senior individual contributor who architects and builds IAA's Azure-based data platform (ingestion, transformation, semantic modeling, delivery). Designs and implements complex production data pipelines, supports BI and ML workloads, sets standards, mentors engineers, and partners with business and engineering leaders to enable analytics, forecasting, and AI.

Design, build, and optimize scalable cloud data pipelines and infrastructure. Maintain and refactor SQL and ETL processes, automate data workflows, ensure data quality/security, and troubleshoot complex issues. Provide technical leadership and mentor junior engineers while collaborating with stakeholders to translate requirements.

Optimize onsite search, navigation, taxonomy, and digital merchandising to improve product discovery and conversion. Analyze large datasets and KPIs, build dashboards, run A/B tests, and implement search relevance changes (boosts, synonyms, redirects) in partnership with merchandising, product, UX, IT, and vendor partners to increase ecommerce revenue and engagement.

Designs, develops, implements, and supports Oracle BI functionality across business groups. Analyzes business processes, data sources, and existing deployments to create reporting and analytics solutions. Establishes BI best practices, scalable processes, data models, dashboards, and presentation layers while improving user adoption and business productivity. Collaborates with global IT and business teams, troubleshoots BI applications, scopes improvement initiatives, and manages multiple projects.

Design, develop, and support Denodo virtual views and data services; integrate Denodo with databases, APIs and cloud platforms; build reusable semantic/logical layers; optimize queries and performance; collaborate with architects and business teams; document designs, test, review code, deploy, and provide production support.

Own and improve ETL pipelines, investigate and validate analytics systems, optimize performance, cost, and availability, and design scalable data platforms. Collaborate with data scientists to deliver dashboards, insights, and client-facing data pipelines using strong software engineering practices.

As a Data Engineer, you will design, build, and manage data pipelines, improve data architecture, ensure accuracy, and collaborate with various teams.

The Site Reliability Engineer will ensure the reliability, security, and support of Databricks applications while collaborating with various teams to optimize data workflows and incident management.

Senior SQL Application Developer responsible for SQL Server and DB2 database administration, ETL/SSIS development, report modernization (Crystal to SSRS), production support, performance tuning, migrations, Linux and Windows server administration, and ensuring data integrity for mission-critical healthcare reporting systems.

Design and build end-to-end data pipelines and integrations on Databricks, implement medallion architectures, develop streaming and NiFi pipelines, integrate purpose-built stores, operationalize ML/MLOps (training, deployment, monitoring), and explore LLM/RAG generative AI solutions while enforcing data governance, security, and performance for large-scale analytics.