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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Use appropriate machine learning and statistical methods to gain insights from our experimental data and publicly available proteomic, transcriptomic, and genomic resources. Effectively use public datasets and guide generation of internal experimental data to characterize and evaluate locational protein targets.
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Collaborate with a team of supportive and passionate software engineers, product, infrastructure and other internal partners to tackle challenging problems, execute on development projects that build, enhance and customize our high-performance data ingest, partitioning, graph and edge building systems.
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3+ years of hands-on experience using any of the Data warehouses like Snowflake, AWS Redshift, BigQuery, or Teradata. Work closely with other data engineering teams to integrate schema registry and establish data lineage for all data domains.
$119,000 - $207,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Architect and design scalable software applications, data platforms, data pipelines, automation systems, system integrations, and AI/ML algorithm outputs that integrate cohesively to deliver Salesforce business outcomes.
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Senior Staff Software Engineer (Data) Experience building data warehouse, data lake and data pipeline using Google Cloud Platform (GCP) We are seeking a Senior Staff Data Engineer in our Ads Engineering team, crafting ground breaking mobile advertising technologies to build the next generation of our Ads Platform.
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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.
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Craft and build cloud-based data lakes and data warehouses. Working experience in building data warehouses and data lakes. Design and build Data Pipelines to collect, transform, store, analyze, explore and visualize.
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Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world.
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It’s the first and only personal training solution that can track your motion and use that data to give you a richer and more effective workout in live and on-demand classes. Software Engineer to join the Tempo Vision team.
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As a Software Engineering Manager, you will identify, hire and build a world-class team of Software Engineers, Researchers, and Data Analysts to define, drive and execute on the creation of the next generation of Lilt's data platform.
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Senior Software Engineer with backend / distributed systems / large scale and database/data processing or data streaming centric background and coding skills in at least one of Go, Golang, Python, Java or C.
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Data Processing/Transformations: Vector (VRL), Kafka, Apache Spark, and or general ETL applications & approaches. Data analytics tools and platforms, such as Tableau, Looker, and Power BI.
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Join our trailblazing global AI and Data Intelligence team as a Software Engineer specializing in Data Engineering. Experience: 5+ years in Software Engineering with a focus on Data Engineering.
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The ML Data Shop team is looking for a Senior Full-Stack Software Engineer to design and implement platforms that support data labeling to accelerate the AV model development. Engineers on this team support self-serving data mining, featurization and labeling platforms which serve as a critical drive to improve the AV stack performance.
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data job Title: software in San Francisco, CA
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