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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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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 in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data engineering tools such as Databricks, Spark, Elasticsearch, Airflow, or a data warehouse. participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Expert-level skills in Python, SQL databases such as PostgreSQL, and big data technologies such as Databricks and Spark. Experience with ETL optimization, designing, coding, and tuning big data processes in Databricks.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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While our syndicated products focus on the TMT industry, our custom research, both quantitative & qualitative, and data analysis work spans a variety of industries including eCommerce & retail; blockchain, Web3, and cryptocurrencies; financial services & real estate; politics, public policy & public affairs; CPG, FMCG, & FMPG; healthcare; and travel, transport, lifestyle, & hospitality.
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The Senior Data Architect will play a crucial role in shaping our data architecture strategy, ensuring scalability, reliability, and performance of our data systems. Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks.
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In this position the Data Scientist is responsible for developing, planning, and executing basic and applied research in bioinformatics as applied to biodiversity genomics and conservation biology, and provide bioinformatics and computational expertise and training to the Center for Conservation Genomics (CCG)/National Zoological Conservation Biology Institution (NZCBI) scientists.
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Customize and oversee integration tools, warehouses, databases, and analytical systems Advanced experience with databases design for big data, such as management of large data sets, and/or design and implementation of data stores to support analysis and scalable processing and storage for high frequency/high volume data pipelines.
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2 years of experience in big data processing, data discovery, rapid prototyping, model lifecycle management, model deployment, and solution and data monitoring. For this Senior Data Scientist role, we're looking for someone with data science and machine learning experience who likes the challenge of breaking new ground.
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
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Experience with big data technologies and tools (, Databricks, Hadoop, Spark) is a plus. What you need to succeed Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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We are seeking a data scientist for the Soccer Operations department with D.C. United. Analyze data from all aspects of soccer operations. Experience building dashboards, web applications, and/or interactive data visualizations with any tool (e.g. HTML, CSS, JavaScript, Shiny, Tableau, Dash, etc.
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big data jobs Title: senior developer Company: Cybercoders in Chevy Chase, MD
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