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Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS.
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4+ years of data warehousing experience (Redshift, Snowflake, other) New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Data EngineeringSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Data EngineeringRemote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Data Engineering.
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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. 4+ years of data warehousing experience (Redshift or Snowflake.
$234,700 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake. As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry.
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Proficiency in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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Provide feedback and assist with prioritization with regards data quality, automated QA tests, and overall platform enhancement to data engineering teams. 6+ years of experience as a Data Analyst with some Data Engineering functions with at least 3 years in a lead role.
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Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible) Do you love building and pioneering in the technology space.
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O Big data technologies: Redshift, Bigquery, Presto, Athena, ElasticSearch, Message Queues etc. Apply software engineering principles to create reliable, automated data solutions to solve critical business needs.
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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. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
$73,100 - $166,000 a yearPart-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Manager, Data Engineering - Job Opportunity Do you enjoy working with technology and solving complex business problems? - 4+ years of experience with distributed data/computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL. - 4+ years of experience working on real-time data and streaming applications.
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Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval. Data Engineering & Backend Proficiency: 7+ years of experience as a Big Data Engineer or Backend Engineer, demonstrating a strong understanding of data systems design and development.
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Manager, Data Engineering. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Stay abreast of industry trends and best practices in data engineering, SAP LMS and SAP SuccessFactors HCM administration, and related technologies, continuously enhancing skills and knowledge.
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4+ year experience working on real-time data and streaming applications. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
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