17,032 results for Data Engineer Jobs

About RivianRivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.As a company, we constantly challenge what’s possible, never simply accepting what has always been don...

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare.We support a cultur...

As part of the Data Engineering team, you will play a key role in enabling company wide data informed decision making. Product and Business teams leverage our data assets to analyze and optimize user adoption, growth, and revenue.This role is based in our San Francisco office with an office-centric ...

About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we w...

Note for all engineering roles: with the rise of fake applicants and AI-enabled candidate fraud, we have built in additional measures throughout the process to identify such candidates and remove them.About UsPeople Data Labs (PDL) is the provider of people and company data. We do the heavy lifting ...

Design and implement end-to-end data products, transform raw data into actionable insights, partner with data scientists and engineering teams, and ensure data quality and availability.

As a data engineer, you will develop and manage scalable data pipelines, collaborate with stakeholders on data-driven solutions, automate data processing workflows, implement data quality checks, and enhance the usability of large datasets. You will work with technologies such as Spark, EMR, Python,...

Responsible for developing and maintaining scalable data pipelines, optimizing ELT-based data models, collaborating with teams to understand data needs, conducting complex data analysis using Python, managing dashboards and reports with BI tools, ensuring data accuracy, and exploring innovative tool...

Responsible for building and optimizing data pipelines, extracting and analyzing datasets, designing maintainable software, and supporting data strategies. Involves applying machine learning techniques and tracking emerging technologies in the Data Engineering field.

Design, build, and maintain data pipelines for the Stellar network; conduct data analysis to derive insights; improve data observability and maintainability; translate business needs into data products; enhance data accessibility through self-service tools.