Big Data Engineer Salary at Procdna BETA

Who we are Aurora's mission is to safely, swiftly, and broadly deliver the benefits of self-driving technology, making transportation safer, more accessible, and more efficient than ever before. The Aurora Driver will usher in a new era of mobility and logistics, bringing a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn . Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are looking for a Data Scientist to partner with our Autonomy Long Tail and Autonomy Data Science and Operations Teams on this exciting journey. In this role, you will Work with cros

Description Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Startup background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Startup team as a GTM Specialist Solutions Architect! The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customers most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of

Description As an Amazon Senior Software Development Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited amount of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences youll be creating for our customers. Apply now and you will be eligible for Amazon Senior Software Development Engineering positions that are based on your preferred location, team, tech stack, domain, language and more. Were hiring across Amazon Stores in the United States and Canada. Teams with available positions including, but are not limited to: Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features su

Description Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help some of our largest customers build, fine tune, and deploy Generative AI models using Amazon SageMaker, and help customers leverage these models to power large-scale end applications. You will engage with AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. At Amazon, weve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.coms recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Aut

Who We Are Auroras mission is to deliver the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you'll solve massively complex problems alongside other passionate, smart people, growing as an expert while broadening your field of knowledge. For Auroras latest news, visit aurora.tech or follow us on LinkedIn . Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are looking for a Data Scientist to partner with our Autonomy Long Tail and Autonomy Data Science and Operations Teams on this exciting journey. In this role, you wi

We are seeking a skilled Big Data Engineer to help develop and scale a high-performance data infrastructure that supports next-generation autonomous systems. This is a unique opportunity to contribute to an end-to-end platform encompassing data ingestion, annotation, machine learning integration, and real-time analytics. You’ll work within a fast-paced R&D environment focused on building intelligent driver-assistance and autonomous driving technologies. The role spans data pipeline development, cloud infrastructure, and integration with neural network frameworks, enabling high-throughput access to diverse sensor datasets collected from advanced test vehicles. Key Responsibilities Build and maintain a cutting-edge big data platform supporting ADAS and autonomy development workflows. Develop and optimize cloud-based pipelines for efficient pre-processing and ingestion of large-scale sensor data. Design scalable systems for transferring data from test vehicles into centralized data lakes.

Job Description Job Summary: We are looking for an experienced Senior Data Engineer with a strong background in Google Cloud Platform (GCP) and Apache Spark to join our dynamic team. You will be responsible for designing, building, and optimizing scalable data pipelines, leveraging GCP services and Spark to handle large-scale data processing and analytics. You will play a key role in shaping the architecture of our data platform and work closely with cross-functional teams to enable data-driven decision-making. Key Responsibilities: Design & Build Scalable Data Pipelines: Architect, build, and optimize highly efficient data pipelines using Apache Spark on Google Cloud Platform (GCP) (e.g., BigQuery, Dataflow, Dataproc, Pub/Sub, etc.). Data Processing & Transformation: Work with large volumes of structured and unstructured data, developing data processing and transformation workflows that support business intelligence and analytics use cases. Collaborate with Cross-Functional Teams: Wor

Software Resources has an immediate job opportunity for a Data Engineer with a major corporation in San Francisco, CA (hybrid). Duration: 9 month(s) Pay Rate: $75 - $83/hr DOE Focus on SQL Knowledge and workflow management (airflow tool) and Machine Learning Knowledge specifically feature. Understanding data inputs into the model and feature analysis. Feature Engineering. Training data set composition. Department Overview: Applied Machine Learning Engineers, Data Engineers, and Data Scientists on the Streaming Machine Learning and Innovation team develop and maintain recommendation and personalization algorithms for Streaming's suite of streaming video apps. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. Our team is... •