Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The role involves gathering requirements from stakeholders and developing comprehensive reporting solutions for supply chain operations in a remote setting.

The Senior Data Engineer will design data pipelines for the AI ecosystem, manage Vector Databases, and ensure data governance, optimizing schemas for AI consumption.

The SnapLogic Support Engineer provides L2/L3 support for integrations, monitors integration jobs, resolves data issues, performs root cause analysis, and engages with business users and vendors.

The QA DB Integration Engineer will validate data integrations and APIs, ensuring data accuracy and end-to-end quality across business systems through various testing methodologies.

The SharePoint Developer will customize and manage SharePoint applications, perform .NET development, and upgrade existing sites while facilitating client requirements and providing best practices.

The Senior C# Developer will lead AI enablement by transforming APIs into an Agent Mesh using C# and the MCP, ensuring secure AI interactions through Gravitee management.

Build and maintain ETL/ELT pipelines, design data models, and develop data workflows using Snowflake, dbt, Python, and SQL. Integrate data sources with tools like Airbyte/Fivetran/Dagster, leverage AWS services (S3, Lambda, API Gateway), use Git for version control, and optionally support Tableau visualizations. Remote role with 3–7 years experience.

Remote Senior Java Developer responsible for building Java web applications using JSP and Struts2/MVC, creating reports with Jasper or SSRS, and managing Linux application servers (load balancers, JBoss, Apache, WildFly).

Design, build, and optimize Snowflake-based data warehouses and dbt transformation pipelines. Develop scalable ETL/ELT ingestion, tune SQL and warehouse performance, implement data quality/testing (dbt tests), and maintain CI/CD and version-controlled data workflows while collaborating with analysts, data scientists, and stakeholders.

The Data Analyst will perform data analysis, validation, and quality assessments, support MDM implementations, and collaborate with stakeholders to ensure accurate master data.