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At least 2 year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Scala, Python and Open-Source RDBMS and NoSQL databases and Cloud based data warehousing services such as ADLS/Cosmos etc.
$76,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) As a Capital One Senior Manager Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Senior Manager, Data Engineering. 4+ year experience working on real-time data and streaming applications. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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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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Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data Engineering. At least 2 years of experience in big data technologies. We are seeking Data Engineers who are passionate about marrying data with emerging technologies.
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802 Delaware Avenue (18052), United States of America, Wilmington, DelawareLead Data Engineer, Bank Tech. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead 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. 7+ years of experience in application development including Scala, Databricks, Python.
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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). Experience with Container Orchestration services including Docker and Kubernetes.
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Lead Data Engineer, Bank Tech. Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.
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Use and contribute to open source tools such as Kubernetes, Emissary, Terraform, Prometheus, Spinnaker and Grafana. Our tech stack is built on Kubernetes and cloud technologies, using GitHub, Jenkins and Spinnaker for CI/CD, Prometheus, Grafana and Lightstep for metrics and observability.
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Plano 1 (31061), United States of America, Plano, TexasSenior Data Engineer (Python, Kafka, Databricks, AWS.
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Working with both structured and unstructured data, recognize patterns within data and generate insights/deliver value; streaming analytics using tools Spark, Kafka, Storm and cloud services AWS, Azure Cloud, Google Cloud.
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