Data Engineer Jobs Near Alameda, CA

Design and develop components and cloud-based services in Scala, addressing machine-learning centric data engineering issues in parallelization, speed, memory, and storage optimization ...

Build new streaming data infrastructure to feed machine learning and analytics. Ensure reliability of the systems that move and transform data for use in analytics and the product...

Create scalable and optimized self-service data infrastructure; model data to aggregate raw fact/dimensional data into elegant and consistent data frames that can power self-service of analytics...

This role will drive data engineering for large-scale data science and machine learning initiatives across a wide variety of strategic projects. As a senior member of the Data Engineering team, you wi...

Design our data models for optimal storage and retrieval and to meet critical product and business requirements. Evangelize high quality software engineering practices towards building data infrastruc...

Work with different teams of data scientists, engineers, architects and business partners on how to solve data and business problems in a scalable way...

Support the workflow management infrastructure, working closely with Data Management and Resilience engineering to ensure timely delivery of upstream data to the analytics environment...

Writing scheduled Spark pipelines that perform sophisticated queries on the entirety of our datasets. Writing real-time pipelines that execute complex operations on incoming data...

Design, build and operate ETL pipelines at scale. Automate processes related to data products and machine learning products. Support stakeholders with designing data structure for data products. Build...

Collaborate with analysts, engineers and business users to design solutions Research innovative technologies and make continuous improvements

software engineer on Data Platform team, you will build data warehousing and business intelligence systems to empower engineers, data scientists, and analysts to extract insights from our data...

Prediction of future data trends using statistical inference and/or stochastic process techniques. Find hidden patterns in incoming data stream.

Document and improve data mapping and data element identification processes across the entire data ingestion team.

Technical lead for Data Engineering, you will own the data architecture and project execution for the team.

Prediction of future data trends using statistical inference and/or stochastic process techniques. Find hidden patterns in incoming data stream.

Work with various Google Cloud Platform (GCP) technologies, Metadata Management tool, Data Quality (DQ) tool, Cloud-Native Microservice architecture, CI/CD, Dev/Ops...

Proactively identify and fix sensor data and operational errors to minimize workflow latency

Work closely with product engineering as well as other stakeholders from sales, marketing, and product to understand their needs and create systems that enable better product and growth decision-makin...

Partner with Data Scientists, ML Engineers, Analysts and Product teams to achieve company goals. Continue to evolve our data platform, data models, and analytics...

Leadership experience with data engineering teams within the context of data warehouse design and implementation, data.

Knowledge of professional software engineering practices & best practices for the full software development life cycle.

The Data Engineers will develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions; you might spend a few weeks with a new client on a deep techn...

Set the technical direction for both user-facing data flows to our app, and internal facing data-integrations for business data.

Work closely with product and design to discover and build solutions that help our customers build great user experiences. Work effectively within a team environment, to regularly solicit and act on f...

Build scalable data pipelines (using Spark and Airflow) to move data from different applications into our data warehouse.