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Direct experience with chemical engineering process development work (developing Excel spreadsheets for chemical engineering calculations and data compilation) to include designing and conducting lab scale to pilot scale experiments is helpful.
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6+ years experience engineering software and data platforms / enterprise-scale data warehouses, preferably with knowledge of open source Apache stack (especially Apache Spark, Apache Arrow, and others.
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As a Sr. Software Engineer for our Data Platform Engineering team you will join skilled Scala engineers and core database developers responsible for developing hosted cloud analytics infrastructure (Apache Spark-based), distributed SQL.
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PhD or equivalent in Statistics, Bioinformatics, Data Science, Epidemiology, Computer Science, Computer Engineering, or similar field. We welcome applicants involved across the entire pipeline of conducting observational health studies at scale, with a focus on faculty whose research areas include the use of real-world data such as health insurance billing and claims data, electronic health records, and disease/medication registries.
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7+ years experience with a combination of Instrumentation and Controls programming/installation, general contractor MEP coordination/project management, commissioning (both mechanical and electrical) of data centers, or other large scale mission critical buildings.
$143,000 - $199,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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A proven track record of administration, engineering, and operationalizing the Databricks platform in a production mode at scale for Data Engineering, Data Science or MLOps use cases.
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Hundreds of thousands of AWS customers choose DynamoDB for mobile, web, gaming, ad tech, IoT, and other applications that need low-latency data access at any scale. Many of the world's fastest growing businesses such as Disney+, Snap, Zoom, Lyft, Airbnb, and Redfin depend on the scale and performance of DynamoDB to support some of the world’s most demanding applications.
$144,900 - $281,800 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience in areas of technology development pertinent to impurities and potency assay development, including but not limited to assay automation and miniaturization, FcgR effector function assay development, large-scale cell banking, image and flow cytometry, and monitoring and characterization of diverse HCP’s.
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You will work with a team of experienced Supply Chain Professionals to deliver business critical solutions by deploying Analytics Solutions such as time sensitive data engineering pipelines, Business Dashboards and Predictive Analytics Models.
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The group collects inhomogeneous (petabyte-scale) data from several different systems (Compliance, Investment Banking, Global Markets, Asset Management, etc.) We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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The ideal Project Manager will have advanced understanding of; Boundary Surveys, ALTA Surveys, Contruction Staking, Leveling, Traversing, GPS, Data Collections, Legal Descriptions, Plan interpretations, along with Real Estate Documents.
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Our Consumer business, Marcus by Goldman Sachs, serves millions of customers across multiple products including lending, deposits, financial tools and our partnership with Apple on Apple Card. We use innovative design, data, engineering and other core capabilities to provide customers with powerful tools and products that are grounded in value, transparency and simplicity.
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Hydroinformatics - Motivated by the expansion of data acquisition systems and the need for managing and using massive datasets, this position requires specialization in information systems and technology for water management, engineering, and operations, with expertise in extreme data management, analytics, data mining, large dataset access, remote sensing, artificial intelligence, machine learning, water systems modeling, and geographic information systems.
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Work cross-functionally with marketing, product, customer success, engineering & data science to develop key metrics & tracking across every part of the organization to support investment, hiring, scale and profitability goals.
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Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed services and infrastructures. Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.
$136,800 - $259,200 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago
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