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Data Engineer

Company: Capital One
Location: White Plains
Posted on: June 9, 2020

Job Description:

114 5th Ave (22114), United States of America, New York, New YorkAt Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.----------------------------------------------------------------------------------------------Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.Data EngineerBeing Capital One Tech:At Capital One, we consider ourselves the bank a technology company would build. We're delivering best-in-class innovation so that our 65 million customers - and counting - can manage their finances with ease. Our reality and vision empower our engineers to use artificial intelligence and machine learning to transform real-time data, software, and algorithms into financial clarity.--We're all-in on the cloud and a leader in the adoption of open source, RESTful APIs, microservices, and containers. We build our own products and release them with a speed and agility that allows us to get new customer experiences to market quickly. We're going boldly where no bank has gone before. And, as a founder-led company, we're inspired and empowered to make, break, do, and do good. So, let's do something great together.Your #LifeatCapitalOneLooking to work somewhere with the flexibility of a start-up but the financial muscle of a Top-10 bank? You're in the right place! And here's what that means for you---You'll have a flexible work schedule-we want to understand where and when you're at your best so you have a healthy work-life balance. Diversity and Inclusion are cultural norms here-you'll have access to active local chapters of Women in Tech, Blacks in Tech, and Hispanics in Tech and more. Plus, you'll be given time to support the next generation of technologists by volunteering with youth programs like Capital One Coders - our engineer-led experience that teaches middle school students in underserved communities how to code. Want to learn more? See what our associates are up to at #LifeatCapitalOne!Calling All Data Engineers:A hub for innovation, our New York presence is expanding, and we need Data Engineers who know their stuff to join our team. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. You'll work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. You'll collaborate with digital product managers, and deliver robust cloud-based solutions to drive powerful experiences that help millions of Americans achieve financial empowerment. Want to learn more? Check out the low-down on our high-tech.--Who You Are:You are fun to work with - you're excited by a team environmentYou are curious. You like to learn new technologies, and you adapt well to changeYou are passionate about current state-of-the-art software technologies and tools, with experience implementing them effectivelyYou are excited about working with cloud-native stack, building on AWS using technologies like Kubernetes and ServerlessYou possess a sense of intellectual curiosity and a burning desire to learnYou are motivated and actively looking for ways to contributeYou are passionately focused on the customer and the details that make their experience exceptionalYou value data and truth over egoYou possess a strong sense of engineering craftsmanship, take pride in your codeYou're pragmatic - you make the best use of time and resources to find the simplest workable solutionYou think and act like an owner, taking personal responsibility for both team and product success--You possess great communication and reasoning skills, including the ability to influence and make a strong case for technology choicesYou thrive in collaborativeagile teams and are ready to take on new and unexpected challenges while building the next wave of engineering solutionsWhat You'll Own:Collaborating with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesLeading the craftsmanship, security, availability, resilience, and scalability of your solutionsBringing a passion to stay on top of current trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering communityEncouraging innovation, implementation of cutting-edge technologies, outside-of-the-box thinking, teamwork, and self-organizationAssisting in the hiring of top engineering talent and maintaining our commitment to diversity and inclusionBasic Qualifications:Bachelor's Degree--At least 2 years of experience in application developmentAt least 1 years of experience in big data technologies (Cassandra, Accumulo, HBase, Spark, Hadoop, HDFS, AVRO, MongoDB, or Zookeeper)Preferred Qualifications:Master's Degree--3+ years of experience in application development1+ year experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, and Flink1+ years of experience with Amazon Web Services (AWS), Microsoft Azure or another public cloud service1+ years of experience with Ansible / Terraform2+ years of experience with Agile engineering practices--1+ years in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase)--1+ years of experience with NoSQL implementation (Mongo, Cassandra)--2+ years of experience developing Java based software solutions--2+ years of experience in at least one scripting language (Python, Perl, JavaScript, Shell)--2+ years of experience developing software solutions to solve complex business problems2+ years of experience with UNIX/Linux including basic commands and shell scriptingAt this time, Capital One will not sponsor a new applicant for employment authorization for this position.

Keywords: Capital One, White Plains , Data Engineer, Engineering , White Plains, New York

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