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Our team covers the full range of data analytics and data science, including data architecture, data engineering, data visualization, predictive analytics, machine learning, and robotic process automation (RPA.
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Work closely with other teams including Data platforms, data product owners, solution Architects, and data governance team to deliver high quality data products. Lead development of code for automation of various aspects of data management, with the goals to improve data reliability, efficiency, and quality.
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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Each of these activities support the Single-Family, Multi-Family, Investments & Capital Markets, Finance, Enterprise Operations & Technology and Enterprise Risk Management business divisions to enable data governance and data quality on the data assets of the organization.
$103,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Understand how ontology and data models fits into the larger ecosystem, anticipating impacts from changes in other parts of the business. Work closely with tech leadership and architecture to understand the tradeoffs of technical decisions and how they impact Ontology and Data modeling as well as consumers.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 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.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience analyzing utilization, and quality outcomes using relevant administrative data sets such as Medicare Advantage, Medicare Part D, Medicaid data as well as private-sector data.
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What we are looking forWe are looking for a passionate Staff-Level Air Compliance Engineer or Scientist to join our quality, landfill gas, and greenhouse gas practice in the Mid-Atlantic market.
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Responsible for establishing data quality standards for ULI metadata to meet business rules and industry best practices. Perform data quality tests against ULI data standards, implement processes to cleanse and standardize data, work to improve ULI’s overall data health.
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Analyzing data quality and performing data analysis using statistical packages such as Stata, R, Python and SAS. Our analyses utilize economic modeling and simulation applied to real-world data in order to predict future demand for services to provide organizations insights into how to maintain quality, improve health outcomes and reduce costs, as well as to properly deploy constrained resources.
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Blackstone Talent Group, an award-winning technology consulting and talent agency is seeking a Data Scientist - Top Secret/SCI Clearance Required to join our team at our client’s site in Reston, VA.
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Performing data management (auditing, editing & analysis) and quality control of study databases. Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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Design, develop and productionize data engineering pipelines on a massively parallel processing (MPP) and cloud-based tech stack, utilizing solution aspects from hybrid-clouds like Microsoft Azure, Amazon Web Services (AWS), data lakes and multiple data warehouses.
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We're seeking an Data Center Engineer to join our Engineering team in Virginia. 5+ years of experience in data center environments performing critical infrastructure support and network administration.
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data quality jobs Title: data quality analyst Company: Bank Of America in Mclean, VA
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