Top Lead Data Engineer Jobs in San Francisco, CA

As a Senior Data Engineer at Crunchyroll, you'll design and optimize data services and pipelines, support operational data analysis, and drive automation. Collaborate with teams to enhance systems efficiency and mentor junior engineers.

The Lead Data Engineer will design and build data pipelines using various technologies, working closely with data science and engineering teams to manage large datasets and build applications for data orchestration and monitoring.

As a Senior Data Engineer, you'll design data models, build scalable data pipelines, and improve data quality, collaborating across teams.

The Lead Data Engineer will design, implement, and maintain scalable data pipelines and architecture while ensuring data governance and compliance. Responsibilities include collaborating with stakeholders, optimizing data processing, and supporting AI initiatives.

As a Data Engineer at Bombora, you'll develop ETL pipelines, cloud-native data systems, and collaborate with teams to implement best practices.

As a Data Engineer II, you will maintain and expand a data platform, ensuring its reliability and stability. Your responsibilities include building and operating data infrastructure, maintaining CI/CD pipelines, and collaborating with stakeholders for data requirements. You'll leverage tools like Airflow, dbt, and AWS to optimize data processing and documentation.

Lead Atlassian's Data Engineering Team in building scalable data solutions, ensuring operational data quality, architecting data systems, and mentoring engineers.

The Staff/Lead Data Engineer will build and manage data pipelines, ensuring data availability and quality while using technologies such as Apache Airflow and Spark.

Design, build, and maintain data infrastructure. Optimize ETL/ELT pipelines, ensure data quality, and develop data models for analytics.

The Staff Data Engineer will design and optimize data infrastructure, support multiple teams, and ensure data quality and integrity across projects.

As a Senior Data Engineer, you will develop and maintain ETL pipelines, design scalable systems, troubleshoot production issues, and mentor team members while ensuring best practices are followed.

The role involves designing, developing, and integrating data applications on Google Cloud Platform, leading data pipelines, enhancing data models, and ensuring quality standards in an Agile environment.

As a Senior Data Engineer, you will write clean code for large scale geospatial data, build high performance data pipelines, and develop APIs for machine learning models.

As a Senior Data Engineer, you will lead data engineering projects, collaborate with teams, mentor engineers, and enhance the data infrastructure with new technologies.

Lead the design and architecture of scalable data engineering platforms, oversee the data lifecycle, develop synthetic data solutions, and guide a high-performing team in Machine Learning and Data Engineering.

As a Data Engineer at Arcadia, you will design and develop data pipelines, support data integrations, and contribute to team processes while working within a Scrum setup.

As a Principal Data Engineer, you'll guide the direction of the Data Warehouse, architect, implement, and optimize ingestion pipelines, and collaborate across teams to ensure data-driven decision-making. You'll also mentor colleagues and ensure compliance with regulatory standards while managing high-volume data systems.