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We are currently hiring a Senior Software Engineer – Data Platform to be a key member of the data engineering and operations team. The Altos Labs Scientific Computing & Data group consists of software, data, and machine learning engineers implementing scalable data engineering solutions enabling Altos Labs' scientific mission.
$244,950 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with developing complex software systems scaling to substantial data volumes or millions of users with production quality deployment, monitoring and reliability. Traditional DLP is outdated, intrusive, and complex - it wasn't designed for today's modern enterprise where users continuously share data across interconnected SaaS applications, endpoints, and now generative AI. Nightfall AI is the first AI-native DLP solution.
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OCI Data Services has a strong portfolio of OLTP Services, such as, PostgreSQL, Redis, Aries Storage Platform for ADB-S. The key priorities include - driving large customer adoption; critical features like Cross-Region Replication, Extensibility of PSQL (Vector, Timescale, GIS ; New PSQL versions; Rapid build out of data services in new regions; Strategic initiatives like multi-cloud support and Operational Excellence to handle disruptive events.
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You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink. By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes.
$236,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Craft data-engineering pipelines (using tools like BigQuery) to identify security vulnerabilities before they've been exploited. You'll also become an expert on modern development trends, especially the cloud-native stack, devsecops, Gitops, and modern data-engineering pipelines.
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We seek someone who is passionate about delivering software solutions that involve CDN edge, secure endpoints, high throughput streaming data ingest, highly available and reliability of 99.95% in a multi cloud environment which is designed to be secure, modular and.
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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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Required Skills & Experience 3+ years of Data Engineering experience Software development background SQL NoSQL Database experience Python AWS (EMR, RDS, Redshift, Kinesis) Hadoop or Spark Desired Skills & Experience Masters degree or higher in Computer Science or related field.
$145,000 - $175,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifications• Fluency and specialization with at least two modern languages such as Java, Golang, Python or C# including object-oriented design• Extensive knowledge and experience of building data intensive large-scale distributed systems with focus on fault-tolerance and throughput.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology. As such, we've built a world class People Analytics and Measurement team to optimize people management and facilitate data-driven decision making.
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Develop UiPath scripts to automate SAP BI Reports test cases (data comparison) as well as AWS Cloud test scenarios. Utilize advanced SQL and ETL techniques to validate data in advanced database structures, data lakes, data warehouse and SAP BI reporting tools.
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Improving our lead routing to help our sales team work efficiently Responsibilities Build and Maintain software across our frontend, backend, and data orchestration systems. Some projects we’ve been working on: Experimenting with Reverse Trials for free users to increase Self-Serve ARRRevamping our Enterprise plan and its featuresModernize our Billing System and its underlying data model to improve financial operations, lower maintenance burden, and increase data trust,Data Engineering to enable analysis of feature usage (in Mixpanel.
$230,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ.
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As a Java engineer on iRhythm’s Software Engineering team you will be working with data from our ECG monitoring devices and data produced by our Deep Learned ECG analysis algorithm and building the back-end system for generation of the clinical reports that go out to medical practitioners.
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As we scale up with more researchers and engineers joining OpenAI, we seek a pragmatic and passionate engineer with a strong focus on the experience for both engineers and scientists that work in our large data sets.
$440,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data job Title: software engineer in San Francisco, Greenland, Kansas
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