Data Engineer jobs in Los Angeles, CA

Design, analyze, and interpret experiments, and develop analytics and data capabilities that support product decisions across Intuit. Explore engagement data, define and validate success metrics, and collaborate with cross-functional teams to present research and insights.

The AI Engineer will build, validate, and operationalize AI and analytics solutions to support revenue cycle and billing needs. They will also lead requirements analysis, create custom reports, and provide data-driven insights to improve organizational decision-making.

Lead the technical direction and hands-on delivery of a reusable data acquisition platform, building reliable batch, CDC, and streaming pipelines with validation, reconciliation, recovery, security, and traceability. Guide architecture and code reviews, mentor engineers, establish automated testing and CI/CD practices, and partner with production support to resolve escalations and prevent recurring issues.

The Security Data Solutions Engineer will design and implement enterprise-scale security telemetry solutions to support SIEM, AI-driven analytics, and threat detection capabilities. They will collaborate with cross-functional teams to define data requirements, establish governance controls, and lead the integration of advanced automation and AI-powered workflows.

The Data Engineer will build and maintain low-level data pipelines using Databricks and Apache Spark while coordinating with onshore and offshore teams. They are also responsible for supporting deployment, post-production maintenance, and communicating project status to engagement managers.

You will build and manage data pipelines to turn raw logs into canonical datasets while defining key metrics for consumer products. Additionally, you will create self-serve data products and dashboards to enable data-driven decision-making across the organization.

You will design and develop simulation environments to generate synthetic data for training autonomous driving networks. This involves building sensor simulation workflows and managing large-scale pipelines in cloud or data center environments.

The Senior Data Platform Engineer will design, build, and operate core platform capabilities including ingestion frameworks, storage infrastructure, and streaming services. They will also develop APIs and agentic interfaces to enable AI agents and downstream teams to interact with platform data and capabilities.

Design and deliver trusted Snowflake data products and maintain a semantic layer that ensures consistent business logic across analytics and AI applications. Lead complex semantic-modeling initiatives while partnering with business owners to translate source data into certified, reusable structures.

The Solution Engineer will provide technical sales partnership to drive the adoption of Data Foundation solutions, including MuleSoft and Informatica. They will conduct technical discovery, deliver architecture workshops, and build Proofs of Concept to align technical solutions with customer business outcomes.

Provide technical sales partnership by performing technical discovery, delivering product demonstrations, and creating architectural recommendations. Collaborate with internal teams to improve products and manage customer engagements throughout the sales cycle.