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Consulting, Staffing & Staff Augmentation, Managed Services, design thinking, big data, employee engagement, executive hires, digital engineering services, talent development, R&D Labs, Cloud Computing, DataOps, DevOps, RPA, digital transformation, and AIOps.
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Strong proficiency in HTML, CSS, JavaScript, and modern frontend frameworks (e.g., React, Angular, Vue.js). Expertise in Shopify development, including custom theme development, app integrations, and API utilization (e.g., REST, GraphQL)Solid understanding of database systems (e.g., MySQL) and experience with data modeling.
$145,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) As a senior data engineer, you bring your previous industry experience in infrastructure scaling to Jerry and lead the development of a new infrastructure solution that will continue to perform with great stability and efficiency even when the company grows 10x bigger.
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TRM leverages big data and machine learning to prevent cryptocurrency fraud and financial crime. As a DevOps Engineer at TRM Labs, you will collaborate with an experienced team of data scientists, engineers, and product managers to build scalable infrastructure for TRM's products and services.
$200InternExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Senior DevOps engineer, you will play a crucial role in ensuring the ESP software product teams (primarily focused on the Pattern in-house WIS:dom for big data across weather, energy pricing, and geospatial data.
$118,000 - $160,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apache Spark : Develop the de facto open source standard framework for big data. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop.
$200Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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5+ years of experience in data engineer or similar role. Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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As a Data Scientist you should be comfortable discussing statistical and machine learning methodology and have significant experience with Machine Learning systems, working with the details of algorithms, not just the tools' application.
$180,000 - $245,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We’re looking for a Data Engineer to help us maintain the foundation of our data warehouse and create an opinionated structure to our data model that can set the standard for our embedded analysts to expand.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
$93,400 - $224,600 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Our team is responsible for building data and analytics services to improve our Motion Planning team’s Machine Learning Platform. Collaborate closely with ML modeling teams across motion planning, systems engineering, and other autonomy groups to define ML workflow requirements and build critical data services.
$250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
$176,800 - $265,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Fluency with Python and data analysis using modern frameworks for deep learning Pytorch, TensorFlow-Keras). As a Principal AI Scientist, you are expected to: Lead advanced machine learning and analytical method application to extract disease biology insights and support innovative clinical development programs and publications on multimodal translational data sets that include single cell and spatial ‘omics, RNAseq, ctDNA, digital pathology, and clinical data.
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modern big data jobs Title: principal engineer in San Francisco, CA
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