Top Data & Analytics Jobs

Leads data engineering strategy, architecture, delivery, support, and lifecycle management for secure, scalable cloud and hosted data solutions. Collaborates with technical and business stakeholders to deliver complex datasets, establish enterprise data standards, manage data engineering teams, and oversee maintenance, change management, capacity planning, business continuity, disaster recovery, and regulatory security requirements. The role also evaluates third-party tools and supports Azure DevOps, SDLC, CI/CD, and technical innovation.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

Business Analyst responsible for supporting loyalty and rewards programs within the financial services or banking industry. The role requires business analysis, modeling, UML, business process re-engineering, and excellent documentation skills. This is a six-month, in-person engagement in San Francisco, with preference for local candidates and 8–10 years of experience.

Migrate data products from Azure Synapse to Microsoft Fabric and design scalable data pipelines using Azure Data Factory, notebooks, Spark/PySpark, Python, and SQL. Implement ingestion (full, delta, CDC), refactor pandas to PySpark, apply medallion architecture, perform data quality checks, tuning, monitoring, troubleshooting, and collaborate with stakeholders to document and deploy solutions.

Teach undergraduate and potentially graduate courses in operations management, information systems, data analytics, and applied artificial intelligence. Maintain scholarly academic status through peer-reviewed research, presentations, and professional development. Mentor students, participate in experiential learning and external-client projects, and complete departmental, college, and university service. Candidates must support ACU’s Christian mission and provide academic and church-related recommendations and statements.

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.

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.

The Senior Actuarial Analyst develops pricing models, analyzes claim trends, prepares financial statements, and updates financial forecasts.

The Data Engineer will clean, manage, and analyze datasets, automate ETL processes, and collaborate with traders and software engineers to derive insights.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.