Top Data Engineer Jobs in Los Angeles, CA

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

As a Staff Data Engineer, you will lead data engineering initiatives, architect and build scalable data pipelines, and mentor teams, enhancing Crunchyroll's data infrastructure within AWS and GCP environments.

Support development and maintenance of data systems and pipelines: ingest new sources, prepare datasets, monitor data quality, assist with ETL tasks, contribute to data models and documentation, and collaborate with analysts, engineers, and stakeholders to ensure reliable, governed data flows.

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.

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

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

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 enhance the enterprise Data Lake by integrating data sources, ensuring data accessibility, and supporting analytical teams through data ingestion, transformation, and governance in both cloud and on-prem environments.

The HR Data Engineer designs and maintains data pipelines, transforms HR data into insights, and ensures data accuracy, governance, and security while supporting analytics initiatives.

The Data Engineer will enhance the Enterprise Data Warehouse, modernizing ETL processes, optimizing data transformations, ensuring data quality, and providing production support while collaborating with cross-functional teams.

Design, build, and maintain scalable Databricks-based data pipelines; lead migration/rehydration of ~500 PowerBI reports; implement CI/CD for data assets; optimize ETL/ELT and establish DevOps/versioning/testing best practices.

Lead and mentor a data engineering team to design and operate scalable ETL/ELT pipelines and Snowflake data warehouse solutions using Python, DBT, Matillion, and AI tools; establish standards, ensure data quality and governance, and collaborate with analytics, product, and BI stakeholders to deliver production-ready data platforms.

The Senior Data Engineer at Unchained will design and implement data pipelines, integrate APIs, ensure data governance, and mentor team members while focusing on accuracy and security.

This entry-level Data Engineer role involves translating business questions into data insights using semantic analytics and AI-driven workflows, transitioning from customer-facing responsibilities to backend system optimization.

As a Principal Data Engineer, you will lead efforts to modernize data systems, create data pipelines, implement observability frameworks, and collaborate across teams to enhance data strategy and analytics.

The role involves writing and deploying scripts for data collection, transforming data sets, diagnosing bugs, and collaborating with other engineers using agile principles.

The Data Engineer I supports the Data Engineering Team by running queries, manipulating data, documenting processes, and resolving data issues.

The Principal Data Engineer will lead the Data Resolution team, focusing on complex data challenges using Spark, system architecture, and mentorship, to optimize graph data pipelines.

As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

As a Data Engineer, you'll design and manage the data warehouse and ingestion solutions, ensuring data integrity and quality while collaborating with various teams to support analytics and business intelligence needs.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

Lead end-to-end data and document migrations from legacy case management systems into Filevine. Assess source systems, design migration strategies, build and optimize SQL queries and ETL processes, perform data mapping, cleansing, validation, testing, and post-migration support. Document processes, contribute to tooling and best practices, and provide client training and troubleshooting.

The Data Engineer will manage data extraction pipelines, modernize data systems, implement monitoring tools, optimize workflows, and support compliance requirements using various tools and platforms.