Capital One Data Engineer - Finance Tech, Data Transformation (AWS, Python, Spark, Scala) in Richmond, Virginia
7900 Westpark Drive (12131), United States of America, Tysons, Virginia
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.
Data Engineer - Finance Tech, Data Transformation (AWS, Python, Spark, Scala)
Do you want to be part of a BIG data transformation journey? Do you love exploring new avenues and pioneer things in the technology space? Do you love designing and implementing business critical data management & engineering solutions using emerging technologies? Do you enjoy solving complex business problems in a fast-paced, collaborative, and iterative delivery environment? If this excites you, then keep reading!
Help us use technology to bring ingenuity, simplicity, and humanity to banking, to spark this up we're seeking a hands-on Data Engineer that can design, code and provide architecture solutions for the team.
In this role, you will be responsible for building generic data pipelines & frameworks using open source tools on public Cloud platforms. The right candidate for this role is someone who is passionate about technology, interact with product owners and technical stakeholders, thrives under pressure, and is hyper-focused on delivering exceptional results with good teamwork skills. The candidate will have the opportunity to influence and interact with fellow technologists beyond his team and influence technology partners across the enterprise.
We are hiring for Principal Associate and Manager level Data Engineers in the McLean/NoVa and Richmond areas.
The Job & Expectations:
Partner with product owners, peers, and end users to understand business requirements
Provide technical guidance concerning business implications of application development projects
Strong ETL programming skills in Python , Spark and Scala
Experience with Cloud computing, preferably AWS
Exposure to AWS native technologies ( s3, EMR/EC2 and Lambda functions)
Leveraging 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
Ability to handle 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.
Experience working in an agile environment
3 or more years experience using at least 1 scripting language (Python, *Scala & Spark )
Bachelor's Degree or military experience
At least 1 year of experience developing, deploying, testing in AWS public cloud
At least 1 years’ experience in system analysis
At least 3 years of experience delivering big data solutions using open-source
At least 5 years of experience working on data projects
At least 4 years of work experience in data management engineering
3+ years experience in at least one scripting language
7+ years experience developing software solutions
1+ year of experience in AWS Cloud computing
2+ 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.