Employment Type: Full-Time
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1 Broadway (21026), United States of America, Cambridge, Massachusetts
At 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.
The Technology team at Capital One is searching for innovative and analytical Data Engineersto join our team in Boston MA. Our data engineers are multilinguists who can speak the languages of how we operate as a business, how that business impacts our financials, and the latest technologies that are reshaping our Finance Tech landscape.
In this role, you will be responsible for building generic data pipelines & frameworks using open source tools on public Cloud platforms, as well as using complex algorithms to develop systems and applications for our Business Partners.The right candidate for this role is someone who is passionate about technology, interacts with product owners and technical stakeholders, thrives under pressure, and is hyper-focused on delivering exceptional results with good teamwork skills. Human centered design is the underlying framework for this candidate who will have the opportunity to influence and interact with fellow technologists beyond his team and influence technology partners across the enterprise.
The Job & Expectations:
Partner with product owners, peers, and end-users to understand business requirements
Be the intersection with lines of business, Finance and technology. The ability to understand various perspectives is critical when optimizing an engineering solution
Provide technical guidance concerning business implications of application development projects
Leverage ETL programming skills in open source languages including Kafka, Python, Scala and SQL on various frameworks especially Apache Spark
Deploy DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Nexus, Git and Docker
Manage multiple responsibilities in an unstructured environment where you're empowered to make a difference. In that context, you will be expected to research and develop cutting edge technologies to accomplish your goals
Skills and Experience
Experience with Cloud computing, preferably AWS and its services including S3, EMR/EC2, and Lambda functions
2 years of experience using open-source languages such as Python and Scala on Apache Spark framework
2 or more years experience working on data projects
2 years of work experience in data management engineering
2 years of experience in scripting languages (e.g. UNIX shell scripting, perl, etc.)
At least 2 year of experience in system analysis
At least 2 years of experience in scripting languages
At least 2 years of experience leveraging SQL for database querying
3+ years experience in at least one scripting language
3+ years experience developing full stack software solutions
At least 1 year of experience developing, deploying, testing in AWS public cloud
3+ years of experience in AWS Cloud computing
1+ years of experience in an Agile delivery environment
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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