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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks.
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Participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government You'll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books.
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Apply coding skills to preprocess data and apply statistical, machine learning and artificial intelligence techniques, including NLP and image processing algorithms. Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Biosciences data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing.
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Strong familiarity with machine learning, data mining, dimensionality reduction, and related analytics methods (e.g., clustering, sequences, networks, time series, deep learning, regression analysis, time series, probabilistic models, supervised classification and unsupervised learning, statistical analytics, etc.
$90,000 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep experience with incubating and driving data initiatives to success, including proven track record in data analysis (advanced MS Excel, proficient in at least one programming language [e.g., STATA, R, or Python] and visualization tools [e.g., Tableau, PowerBi.
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Extensive experience in data mining, AWS Cloud Data Services - Glue, S3, EventBridge, Athena, Presto SQL, Lambda and data analysis. GDIT's DOJ/OJP team is looking for a dynamic and experienced Data Scientist to guide and build our client's Data management Center of Excellence.
$131,750 - $178,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our growing data teams are looking for a savvy Lead Data Engineer to join and help build and evolve the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data's business value.
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Hands-on" ABAP experience is a required; must have deep understanding of SAP S/4HANA data structures with hands-on expertise with HANA/CDS views/ Complex SQLs; experience in development of interfaces or integration of SAP GTS and Tax Engines (like Vertex) with SAP S/4HANA.
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Lead the creation of the data strategy, data governance, and associated practices in collaboration with the CIO. Extensive knowledge and experience in data engineering, data analytics, data governance, AI, and data transformation.
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Dark Wolf Solutions is looking for a Mid-level Data Engineer to work near a Dark Wolf office in Herndon, VA with hybrid flexibility and presence at our site location in Fall Church, VA. Tasks will include working within an Agile DevSecOps team environment using latest cloud-native technologies to architect and implement containerized applications, CI/CD pipelines, and Kubernetes platforms using best practices and leading technologies.
$100,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in data science modeling - Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling and Clustering.
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As a lead big data engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. Data Engineer, Lead.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The threat intelligence teams at Meta are dedicated to protecting the users of our family of applications (e.g. Facebook, Instagram, WhatsApp, Oculus) by leading intelligence development, and deep dive investigations, illuminating adversarial threats, delivering cross-problem awareness, and driving mitigation.
$62,000 - $97,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data deep jobs Title: engineer Company: Nvidia in Washington, DC
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