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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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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.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs.
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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Additional knowledge and experience with adjacent capabilities in the areas of Enterprise IT; Cyber Operations, ITSM and Managed Services; Data Center, Cloud and Cloud Migration; Data Transport and Systems Integration; Application Development and Modernization; Big Data and Data Analytics is a plus.
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Experience with Azure cloud computing, including big data technologies such as Azure Databricks cluster management. Design scalable data processing and analytics solutions, including Big data storage for various data types and large-scale data processing using Databricks.
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Benefits: R Java Python REST SQL NoSQL Tableau Azure Big Data storage TITLE: Big Data Architect IT Consultant MasterLOCATION: Washington DC/ Onsite MINIMUM EDUCATION: Bachelor’s degree in IT, related field, or equivalent experience.
$80 - $90 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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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. Working with data integration developers to assess data quality and define data processing business rules for cleansing, aggregation, enhancement etc.
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Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive.
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In the Data/CQI Administrative Specialist role you will apply your knowledge and experience to support evaluation and continuous quality improvement (CQI) on a national technical assistance project in a federal consulting environment.
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This includes evaluating, monitoring, and updating data for quality, relevance, and accuracy. The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience and proficiency developing and implementing quality assurance and testing programs for workloads that are implemented with AWS services, and software development technologies that include Vue.js, Python, Django, S3, SNS, SQS, Docker, EKS/Kubernetes, AWS Step Functions, EventBridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, like Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, the MongoDB NoSQL database service, and other AWS services.
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The position will be responsible for leading the qualitative and quantitative research and data analytics related to policy, development, and implementation of an efficient, coherent, and cohesive system of oversight for Medicaid-financed LTSS. This position plays a key role in supporting LTCA’s overall LTSS Quality Improvement Strategy and alliance with District and Federal requirements.
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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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big data quality jobs Company: Accenture in Mclean, VA
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