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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development. Bachelors Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. Work with us to use big data for good. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master. The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
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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. Proven experience as a Technical Lead with a focus on Databricks and big data technologies.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Data mining: Utilize NLP technologies to extract insights from internal data sources, including a mix of structured and unstructured data.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Optimize the performance of big data processing tasks and analytics jobs. Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks.
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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$128,900 - $195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cyber Security, Data Analytics, Big Data, Cloud Computing, Signal Processing, IT Modernization, Software Engineering, DevSecOps, and System Engineering. Job Description To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging.
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Big Data Architect IT Consultant Master. Experience implementing Big Data storage and analytics platforms such as Databricks and Data Lakes 5 Years. Knowledge of Big Data and Data Architecture and Implementation best practices 5 Years.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data. Experience with large-scale distributed computing and big data technologies (databricks etc.
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big data jobs Title: data administrator in Arlington, VA
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