Top Data Engineer Jobs in San Francisco Bay Area, CA

The Senior Data Engineer will design and maintain scalable data pipelines, lead medium-sized platform projects, and ensure reliability of data systems through monitoring and optimization. Responsibilities include working with cross-functional teams to improve data workflows and participate in incident response.

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.

Own and evolve the data platform by leading architectural evolution, collaborating with teams for strategic data initiatives, and ensuring reliable data systems.

The Staff Data Engineer will architect and implement a next-generation data platform, build data pipelines, and ensure data integrity for actionable insights.

The Senior Engineer, Data will architect and deploy data pipelines, optimize databases, collaborate with teams, and maintain data integrity. They will also enhance data architecture and improve processes using various technologies.

As a Staff Data Engineer, you'll architect secure data systems, build pipelines, enforce best practices for sensitive data management, and mentor teams across Tonal.

As a Staff Software Engineer in Data Engineering, you will design, build, and optimize robust data systems to ensure data quality, performance, and stability, while mentoring team members and collaborating with cross-functional teams.

As the Senior Data Engineer for Enrichment, you'll design data pipelines, maintain contact datasets, ensure data quality, and optimize vendor relationships while working with a talented team.

Responsible for utilizing Hortonworks architecture and tools such as Hadoop and Spark for data analysis and engineering tasks. Candidates should have relevant experience and may be considered for contract-to-hire roles.

As a Senior Data Engineer, you'll design and build data pipelines, automate processes, and collaborate with business teams to support analytical needs, ensuring data quality and optimization for ML workloads.

As a Senior Data Engineer, you will manage data pipelines, ensure data quality, partner with teams for data-driven decisions, and improve the data platform while maintaining data integrity.

The Senior Data Engineer will create and manage data pipelines, ensuring data quality, collaborating with teams for data-driven decisions, and evolving the data platform.

The role involves building and maintaining data infrastructure for compliance analytics, ensuring reliable data processing, and collaborating with data scientists and ML engineers to support compliance functions.

The Senior Data Engineer will build scalable data pipelines, optimize Snowflake data warehouses, and enable reporting via Power BI while collaborating with stakeholders.

Design, build, and maintain scalable data pipelines and platform tools; define canonical data models; deploy and operate workflow managers (Airflow/Jenkins); work with cloud data tools (Redshift, EMR) and infra (Kubernetes, Terraform); implement data security controls; mentor junior engineers and collaborate with data scientists, analysts, and product teams.

The Staff Data Engineer will design and maintain data systems, streamline workflow for Data Analytics and Machine Learning teams, and ensure data pipelines are efficient and reliable. Responsibilities also include driving large projects, collaborating across teams, mentoring, and supporting the company's strategy.

The Senior Staff Data Engineer at SmithRx will define technical vision, improve data engineering efficiencies, and enhance data governance while mentoring other engineers and leading cross-functional collaborations.

The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.

Lead the design of DataOps platforms, focusing on scalable data infrastructures and automation frameworks. Oversee robust data orchestration and establish quality frameworks.

The Sr. Data Engineer will build and maintain data pipelines, develop ETL processes, and optimize data infrastructure, collaborating across teams to ensure data reliability and performance.

The Senior Data Engineer will design and maintain data infrastructures, support analytics, and collaborate with stakeholders to improve data quality and governance while utilizing DBT and AWS tools.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.

As a Senior Data Engineer, you will implement and optimize Google Analytics systems for accurate user behavior measurement across platforms, ensuring scalability and data accuracy.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

Ensure timely, high-quality data conversions from legacy systems to new platforms. Work with Implementation Specialists and Project Managers to execute conversion tasks, validate data integrity, troubleshoot issues, support deployments, and assist scheduling and customer communications.