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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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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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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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Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift) Our current analytics toolkit consists of DOMO and dbt running on top of a Snowflake data warehouse.
$110,000 - $120,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support requirements officers in the development, review, editing and routing of correspondence, documents and publications of strategies and concept papers and/or briefs related to IAMD, evolving CID / Battle Management (BM) technologies: Big Data, AI, ML, Mission Planning, Battle Management Aids, FFT and IFF Mode 5 capabilities.
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Skills: Experience in cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, and sonar systems. If you’re a whiz with cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, or sonar systems, you’re exactly who we need.
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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.
$126,610 - $215,270 a yearFull-timeExpandUpdated Yesterday - 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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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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You will be building applications for over 900 US government using Java, Spring Boot, REST APIs, Microservices, AWS Lambda, Docker, Kubernetes, CI/CD, and ElasticSearch. You will be building applications for over 900 US government using Java, Spring Boot, REST APIs, Microservices, AWS Lambda, Docker, Kubernetes, CI/CD, and ElasticSearch.
$130,000 - $150,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Specifically, our team is seeking a Data Manager to support the Behavioral Biology branch’s Performance Assessment and Chemical Evaluation (PACE) laboratory. Advise on the use of appropriate statistical and other analyses on collected data, perform standard and advanced statistics, using computer-based programs such as SPSS, SAS, etc.
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You will join the Workflow Management Developer Experience team in Big Data scope to support Migration from Hadoop / Oozie (Spark, Perl, etc) legacy setup to a modern platform (AWS / S3 / Snowflake / Airflow / Spark / DBT.
$165,400 - $181,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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docker big data jobs Title: clearance in Arlington, VA
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