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With over ten years of experience in research, engineering and development, we take a “big picture” approach to meeting our business needs, prioritizing both technical and soft skills in the workplace for improved performance.
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Strong experience with data engineering tools and technologies (SQL, NoSQL, DynamoDB, Postgres, Redshift, Athena, Glue, etc.) Element 84 is a woman-owned small business that works with public, private, and non-profit sector clients to develop geospatial data processing pipelines & build software that helps answer big questions about our health, our infrastructure, and our changing planet.
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The ideal candidate has the ability to work with big data and various data formats to make data meaningful to the end user. Experience with libraries used to read and write structured data (XML, JSON, CSV, etc.
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Experience with at least one modern Big Data (e.g., Hbase), ETL (e.g., Apache NiFi), or Data Science (e.g., MapReduce) technology. BS Degree in computer science, data science, engineering, math, statistics, or related field.
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ECS is seeking a Software Engineer to support the execution of a variety of projects including Artificial Intelligence/Machine Learning and Big Data/Cloud Solutions, with a focus supporting Naval Acoustics AI/ML. This position requires strong technical leadership skills, experience with various modern software languages, machine learning architecture, and enterprise application integration.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Skills focused on: Python, Data Engineering and Analysis, identification and tagging of data, AI/ML, database queries, synthesis of large datasets, data mining, statistical analysis, big data, automation, AWS, algorithm development, MS Excel.
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As a technical advisor to the Air Force sponsor, you will identify opportunities, develop solutions, conduct hands-on research and prototyping, and provide recommendations and guidance to UP. Roles & Responsibilities: Build and apply hands-on expertise to a complex software engineering and data ecosystem Provide overall direction and oversite of technical efforts and ensure quality of data-driven technical products and/or solutions with actionable recommendations for the sponsor.
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Must have hands on experience developing data engineering solutions in Scala using: S3, EMR, Glue, Athena, Kafka and notebooks. Candidate must have 3-5 years of demonstrated experience in building big data solutions on AWS cloud primarily with Spark, preferably in Data Analytics space.
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Minimum of 10 years of related integration, analysis, correlation, and exploitation of big data engineering experience. Experience in big data processing supporting an IC organization s operations and/or analysis mission(s.
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3+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
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We are a leader in providing software engineering, big data analytics and visualization, artificial intelligence and machine learning solutions, DevSecOps, data center operations support, and cloud migration for our law enforcement and national security customers.
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Performing all aspects in the lifecycle of database engineering and administration, including design to meet customer needs, install, deploy, data migration, maintenance, backup/recovery, patch, and upgrade.
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Seeking a Senior Data Developer to implement data processing and ingestion of structured and semi-structured data as a member of the Innovation in Data Engineering and Analytics (IDEA) team.
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Advanced data engineering/programming in python, computer science or data science background, experience with AI/ML, FULL SCOPE POLYGRAPH. We provide behavioral analytics and data science research and development (unsupervised modeling and big data analytics) for mission partners.
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big data engineering jobs in Fairfax, VA
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