Job Market Guide: Data Engineer jobs in San Francisco-Oakland-San Jose

Competition
Desired Skills
Years of Experience
Years of Experience distribution graph for Data Engineers in San Francisco-Oakland-San Jose. Data Engineers in San Francisco-Oakland-San Jose have between ${} and ${} years of experience, averaging $${} years of experience.

249 Data Engineer jobs in San Francisco-Oakland-San Jose

San Francisco, CA
Work closely with infrastructure engineers to make sure that your algorithms will effectively scale to large data sets and to ensure that their systems provide the flexibility needed for your ideas.
industry
Internet Services
experience
Less than 5 years

Santa Clara, CA
Exhibit breadth and depth of knowledge in computer vision and/or machine learning. Comfortable reading and implementing research papers to experiment on data sets.
industry
Business Intelligence
experience
Not Specified

Big Data Engineer

Sunnyvale, CA
Build a scalable data engineering architecture and infrastructure (such as ETLs, data exchange processes with 3rd parties, A/B testing, reliability systems etc.)
industry
Software
experience
Not Specified

Sunnyvale, CA
The Data Analytics and Infrastructure team is responsible for building and maintaining the state-of-the-art ETL infrastructure that makes this data available and accessible to the entire company to make data driven decisions.
industry
Networks
experience
Less than 5 years

San Francisco, CA
Execute and manage process to make 3rd party data available internally for usage on direct sold media campaigns.
industry
Advertising & Marketing Services
experience
Less than 5 years

San Francisco, CA
Build next-generation real-time, scalable, fault-tolerant ads reporting system using the latest open-source technologies to process terabytes of data to deliver key performance metrics to advertisers with minute-scale delay.
industry
Advertising & Marketing Services
experience
Less than 5 years

Data Engineer

San Francisco, CA
Works closely with DBAs, Product Managers, and Engineers to become a source-data-expert and maintain optimal data warehouse performance. Builds partnerships with business users, analysts, and data scientists to understand data, reporting, and analytic requirements.
industry
Wireless
experience
Less than 5 years

Big Data Engineer

San Francisco, CA
Contribute to the efficiency, effectiveness, and improvement of best practices as a thought leader.
industry
Software
experience
Not Specified

San Francisco, CA
As a member of the team, you will build systems to manage hundreds of petabytes of data and process tens of millions of events per second in real time. The services you build will integrate directly with companys products, opening the door to new and cutting-edge features.
industry
Information Services
experience
Not Specified

Santa Clara, CA
Demonstrated experience of collaboration in fast paced environment with minimal guidance. Proactive, results-oriented attitude. Great understanding of accurate data definition, type of data quality checks, data variances, predictive data patterns, duplicate data detection.
industry
Business Intelligence
experience
8 - 10 years

Mountain View, CA
Collaborate with multi - functional group on FMEA / FMECA ( Failure Mode, Effect Analysis ) for the electrical power distribution and mechanical cooling systems.
industry
Engineering Services
experience
5 - 7 years

Mountain View, CA
As a member of the Core Data Services team, participate in development and optimization of data pipelines.
industry
Advertising & Marketing Services
experience
Not Specified

Mountain View, CA
Ability to work smoothly with other engineers and mentor others in areas of expertise.
industry
Business Services
experience
Less than 5 years

San Francisco, CA
Youre an expert software developer with experience building scalable and highly concurrent distributed systems.
industry
Information Services
experience
Less than 5 years

San Francisco, CA
Build data infrastructure to make it extremely simple to obtain insights from the wealth of data that stores in its global datacenters. Apply your expertise in distributed databases and large scale systems to simplify the immense complexity of wrangling with humongous amounts of underlying data, enabling Twitter to be more agile.
industry
Information Services
experience
Not Specified

San Francisco, CA
Build systems that can effectively store and crunch terabytes of data, and power amazing experiences for companys users.
industry
Internet Services
experience
Less than 5 years

Big Data Engineer

Palo Alto, CA
This is a unique opportunity to be part of building disruptive technology where Big Data will be used as platform to build solutions for Analytics, Data Services and Solutions.
industry
Networks
experience
5 - 7 years

San Francisco, CA
You will surface these datasets in real time to mission-critical products and business applications throughout the company. You will be among the earliest adopters of bleeding-edge data technologies and features, working directly with infrastructure teams to integrate them into your services at scale.
industry
Information Services
experience
Less than 5 years

Redwood City, CA
Work closely with DevOps & DI to manage the data pipeline, using MySQL, Airflow, Kafka, BigQuery, and Ansible, all hosted in the Google Cloud.
industry
Software
experience
Not Specified

Data Engineer

San Francisco, CA
Build robust data pipelines that collect, process, and compute business metrics from activity data using Spark.
industry
Advertising & Marketing Services
experience
Not Specified

Data Engineer

Palo Alto, CA
Ensure to produce the appropriate views, unions, tables manipulation to successfully streamline data from RedShift to Domo. Support BI / Sales / Marketing requirements.
industry
Business Services
experience
8 - 10 years