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The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security and scale.
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We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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Compensation: The TRS Investment Management Division offers an attractive compensation package consisting of base salary, annual performance incentive bonus, a defined-benefit pension plan as well as 401(k) and 457 retirement plans, and comprehensive benefits.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Center 3 (19075), United States of America, McLean, VirginiaPrincipal AssociateData Scientist,AML Modeling and Advanced Data Insights.
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Experience working with data using complex SQL; adept in at least one visualization tool such as Looker. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation.
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Act as a data steward and partner with internal data strategy and governance teams to address data quality, new data collection formats and use cases. In addition to the opportunity to apply and develop your skills toward key business objectives, we offer an excellent compensation package including a competitive base salary, comprehensive health/vision/dental insurance, participation in our deferred profit sharing and incentive compensation programs as well as a relocation assistance package.
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All non-sales roles participate in an annual cash bonus program, while sales roles have an incentive plan. Continuous improvement of the brand vulnerability management people, process, and technology analyzing cloud environment reporting, prioritizing, and working with brand IT to make Cloud Security Management data actionable and understandable.
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Lead Software Engineer, Full Stack (Enterprise Data) Enterprise Data is hiring a Lead Software Engineer! Work with Product, Data Ethics & Privacy Office (DEPO), Architecture, and other Tech Leaders to ensure all work is completed, tested, and deployed in a timely manner.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer.
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Assist in evaluation and onboarding of new data and removal of old data. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies.
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2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL) 1+ years of data warehousing experience (Snowflake or DeltaLake) New York City (Hybrid On-Site): $138,500 - $158,100 for Data Engineer.
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As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 4+ year experience working on real-time data and streaming applications.
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