Top Senior Data Engineer Jobs in Los Angeles, CA

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Lead the implementation of AML detection pipelines using Palantir Foundry. Train team members in technical skills and oversee data architecture and maintenance.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

The Senior AI Data Engineer will design and maintain datasets for AI models in cybersecurity, ensuring data quality and relevance while collaborating with teams.

The Senior Data Engineer will maintain ChowNow's data platform, enhance data pipelines, work with data scientists, and improve data quality and accessibility, contributing to executive decision-making and business growth.

The Data Engineer will develop and maintain data pipelines for healthcare analytics, ensuring data quality, compliance, and integration across diverse sources while supporting enterprise data strategy.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

The Senior Data Engineer will develop and maintain data pipelines, collaborate with Analysts, and ensure high code and data quality on the Hungryroot Analytics model.

As a Data Engineer, build efficient data processing systems, model data to support analytics, and collaborate with teams to enhance Netflix's data-driven culture.

The Senior Data Integration Developer will design and implement data integration solutions, manage ETL processes, and ensure data quality and compliance by collaborating with cross-functional teams.

As a Data Engineer at Monte Carlo, you will build and maintain data pipelines, collaborate with data science teams, and enhance pipeline reliability using the company's own product.

The Lead Data Engineer will develop data infrastructure, manage event structures, design storage architecture, and mentor engineers for better data practices.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

The Lead Data Engineer will manage data migration efforts, oversee data quality and cleansing, and ensure alignment with Oracle Cloud's supply chain objectives. Responsibilities include developing governance frameworks, collaborating with stakeholders, and leading data management initiatives for successful project execution.

The Senior Analytics Engineer will design data models, optimize distributed systems, develop metrics, and collaborate across teams to enhance data-driven decision making.

The Staff Data Engineer will architect and operate the Databricks lakehouse, managing data ingestion, governance, and analytics collaboration with cross-functional teams.

Design and optimize data pipelines, work with structured/unstructured data, ensure data quality for analytics, and collaborate with data scientists.

As a Senior Data Engineer, you will architect, design, and implement data lakes and warehouses while managing AWS environments, ETL pipelines, and analytics projects. Collaborate with teams to enhance strategic data processes and support healthcare solutions.

Lead the integration of a React/Java application with Monday.com, ensuring data synchronization, database performance, and collaboration with developers for high-quality solutions.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.