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Top Data Engineer Jobs in San Francisco, CA

543+ Job Results
9 Days Ago
US
Remote
820 Employees
Junior
820 Employees
Junior
Information Technology • Software
The Tax Data Specialist is responsible for maintaining tax profile data, processing customer profile updates, managing cases related to tax inquiries, and ensuring data accuracy in systems like TaxEx and Workday. They provide support for payroll tax data analysis and assist customers with filing impacts while maintaining quality metrics.
Top Benefits:
401-K
Company Outings
Dental Insurance
+13 More
10 Days Ago
United States
Remote
353 Employees
Senior level
353 Employees
Senior level
Information Technology
The Cloud Data Architect is responsible for creating data products from transactional and third-party data, improving existing systems, and collaborating with teams to build foundational data sets. The role requires experience in cloud data solutions, data warehousing, ETL tools, and big data technologies.
Top Benefits:
401-K
Company Outings
Dental Insurance
+11 More
10 Days Ago
United States
Remote
10 Employees
Junior
10 Employees
Junior
Information Technology • Consulting
The Data Engineer will develop database designs and architecture in an Azure environment, contribute to technical designs, secure data migrations and transformations, conduct data profiling and cataloging, and migrate ETL and SSIS packages to Azure Synapse.
10 Days Ago
2 Locations
Remote
66 Employees
135K-165K Annually
Mid level
66 Employees
135K-165K Annually
Mid level
Gaming
As a Backend/Data Engineer, you will develop backend data tools and services, work with the Data Analytics team on technical implementations, review code, and architect cloud infrastructure on AWS while integrating APIs from platforms like Discord and Spotify.
2,355 Employees
Not Specified
Social Impact
Crisis Text Line is seeking a Senior Manager for Data Engineering & Analytics to lead the data and analytics teams in utilizing data to deliver insights and create data products for fostering crisis support globally.
Top Benefits:
Health Insurance
Conferences Training
Performance Bonus
+1 More
10 Days Ago
United States
Remote
522 Employees
95K-133K Annually
Junior
522 Employees
95K-133K Annually
Junior
Software • Financial Services
As a Data Engineer, you'll design and develop large-scale data pipelines, enhance processes, integrate data sources, and write maintainable code to support various teams in the organization. You'll optimize data architectures and support ongoing projects through effective data delivery.
10 Days Ago
California, USA
848 Employees
Mid level
848 Employees
Mid level
Retail • Wearables
The Database Engineer II will design and develop scalable database structures, optimize SQL queries, and perform code reviews. Responsibilities include monitoring system performance, data integration, and providing on-call production support. Collaborating with cross-functional teams to ensure robust database systems that meet business needs is essential.
10 Days Ago
United States of America
1,069 Employees
Senior level
1,069 Employees
Senior level
Healthtech • Professional Services • Software
The Staff Data Engineer will design, develop, and maintain data architecture and standards for Data Integration & Data Warehousing projects in BigQuery. They will develop data solutions, document data flows, aid in data governance, and mentor other engineers to improve healthcare data visibility and processes.
10 Days Ago
United States
Remote
834 Employees
139K-163K Annually
Senior level
834 Employees
139K-163K Annually
Senior level
Healthtech
The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.
10 Days Ago
USA
Remote
36 Employees
Senior level
36 Employees
Senior level
Cloud
As a Senior Data Engineer at Zencore, you will leverage Databricks to assist clients with data application modernization and cloud migration, driving transformation by acting as a trusted advisor on various topics including ETL, data modeling, security, and governance. You will develop production-ready Spark applications, utilize the Databricks tech stack, and implement data pipeline best practices.
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