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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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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. We need a data professional 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.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data visualization tools (e.g., Tableau, PowerBI) and big data technologies (Hadoop, Spark). 5+ years of overall experience in the field of data science, with a proven track record in predictive modeling or a similar analytical role.
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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. We need a big data experienced professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
$96,600 - $220,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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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.
$150ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Python, SQL, and AWS big data technologies. Experience with data visualization tools such as Power BI and Tableau.
$120,000 - $130,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
$4 - $10RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Technology Tools: AWS, Open Search and Python Data Science tools. With minimal supervision provide accurate, timely, complex and sophisticated data analysis in support of key Agency, US national security, and foreign policy objectives and to shape Intelligence Community (IC) analysis priorities.
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Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka. Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
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And applications and environments (petabyte-level big data, multiple cloud providers) serve more users than the US Postal Service and see more traffic than the IRS at tax time. Sr. Software Developer in Bioinformatics and Big Data.
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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. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$96,600 - $220,000 a yearExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
$150ExpandApply NowActive JobUpdated Today
big data jobs Title: data in Arlington, VA
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