Top Data Engineer Jobs in San Francisco Bay Area, CA

The Data Engineer will own and optimize data infrastructure, manage pipelines, troubleshoot connectors, deliver analytics, and experiment with tools.

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.

Looking for a Data Engineer focused on data visualization with experience in handling real-world data and effective communication through data. Extra credit for skills in probabilistic classifiers and full-text search engines.

As a Growth Data Engineer, you will build and manage marketing data and attribution systems, ensuring reliable data flow and accurate measurement of acquisition efforts. The role involves collaboration across product, marketing, and data teams with a focus on optimizing campaign performance.

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

As a Data Engineer, you will create efficient data models, pipelines, and analytics frameworks, collaborating with various departments to transform raw data into actionable insights.

As a Data Engineer at Lindy, you'll design ETL pipelines, develop dashboards, and collaborate with leadership to derive critical business insights.

The Senior Data Engineer will build and scale data infrastructure, create data models, develop ingestion pipelines, and ensure data quality for drug development at Formation Bio.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

As a Data Engineer, you will architect and maintain the data systems, create pipelines and integrations, and ensure data quality for analytics and reporting.

Lead technical onboarding and integrations: map customer schemas to canonical models, design incremental and full data syncs, deploy pipelines across on-prem/cloud infra, collaborate with AI/ML teams to ensure high-fidelity inputs, and own successful customer deployments and last-mile onboarding.

Build and optimize core data platform: improve ClickHouse performance, create configurable ingestion schemas, develop shared Python libraries, design integration pipelines, and architect monitoring/observability for reliable, production-grade data delivery.

As a Data Engineer Intern, you will design and build data systems and tools for AI-driven workflows, optimize data quality across GTM systems, and develop internal applications using TypeScript and React.

Design, build, and optimize ETL pipelines and data workflows. Collaborate with teams to translate requirements into data solutions, ensuring data quality and efficiency.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

Lead technical strategy for data architecture, build and optimize ETL/ELT and streaming pipelines, establish observability and data quality standards, mentor engineers, drive large-scale cross-team designs, and deliver self-serve data products for analytics and ML.

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.

Intern will gain hands-on experience in data engineering by working with technologies like Databricks, SQL, and Azure. Responsibilities include technical proficiency development and participation in AI projects.

The Senior Data Engineer will design data models, build and manage ETL pipelines, contribute to data governance, and explore integrations with AI. Responsibilities include collaboration with teams to ensure data quality and consistency.

The Senior Data Engineer will develop and maintain a high-quality data platform, implementing features, performing code reviews, and collaborating with teams to meet requirements.

Develop scalable data architecture for targeting and engagement, optimize pipelines, lead technical projects, and maintain data quality and documentation in a fast-paced political environment.

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

The Data Engineer will build and maintain data pipelines, optimize queries, collaborate with teams, and ensure data quality across Google Cloud systems.

The Data Engineer will design and maintain ETL/ELT pipelines, optimize data processing jobs, and ensure data quality and availability.