Top Data Engineer Jobs in Los Angeles, CA

As a Distinguished Data Engineer at Capital One, you'll drive adoption of technology, collaborate on data challenges, mentor talent, and influence stakeholders.

As a Data Engineer, you will build data pipelines, APIs, and contribute to the core product's analytics while collaborating with cross-functional teams.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

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 Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

As a GCP Data Engineer Manager, you'll lead data engineering projects, develop data architectures, mentor teams, and enhance data solutions for clients.

Senior Manager in data engineering at PwC, responsible for designing data architecture, leading projects, and ensuring compliance with data governance while mentoring teams and driving strategic project success.

As a Principal Data Engineer, you'll design and optimize scalable ETL pipelines, manage data infrastructure, mentor junior engineers, and collaborate across game teams to enhance data-driven insights for game development.

Collaborate with developers to design and deliver data infrastructure and manage data pipelines and APIs, supporting applications and analytics.

The Senior Data Engineer at Sprout Social will design and manage data infrastructure and pipelines to support analytics and stakeholders. Responsibilities include implementing ELT processes, collaborating with cross-functional teams, ensuring data quality, and mentoring team members.

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

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

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

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

Design and maintain data engineering pipelines for Yahoo's Consumer Monetization Platform, leveraging Machine Learning, analytics, and large data infrastructures.

As a Senior Data Engineer, you will design and implement scalable data solutions, collaborate with teams on AI/ML products, and lead complex data projects.

As a Data Engineer, you will design and implement data pipelines, optimize workflows, and support analytics using AWS and GCP, collaborating with teams to enable data-driven decision-making.

The Senior Analytics Engineer will design and maintain data models, develop user-facing data products, optimize BI systems, and troubleshoot data pipelines while ensuring data quality and security standards.

As a Senior Data Engineer, you will develop E2E data pipelines, manage data ingestion, integrate data layers, and improve data architecture while collaborating with cross-functional teams.

Looking for Sr. Azure Data Engineers with 8+ years of experience. Responsibilities include building data pipelines and integrating data from various sources.

Responsible for designing and building distributed data systems, developing robust data pipelines, and architecting data platforms to support large-scale data processing.

The Data Engineer will manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

As a Data Engineer, you will work with clients to understand data distribution needs, build extracts and optimize scripts, while fostering a collaborative team culture.

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

The Data Engineer will architect and expand data products for Netflix's Ads business, developing data pipelines, collaborating with analysts, and ensuring data quality.