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.
Sr. Manager Data Engineer
The HR Tech team is looking for an engineering senior manager to join the team in McLean, Richmond, or Plano. In this role, you will influence decision makers with your own technological ideas and innovations. You will be at the forefront of cloud adoption and emerging technologies. Capital One's HR Tech develops the best-in-class strategy and solutions for key internal business domains, provides key capabilities for critical cross-organization programs, and proves out emerging technologies and Data Management best practices.
To succeed, you:
Demonstrate both effective people management and disciplined software and data engineering leadership.
Work with product owners to understand desired application capabilities and testing scenarios - continuously improving software engineering practices.
Lead Agile teams to design/implement cutting-edge technologies, and support technical solutions across a full-stack cloud technologies with operational disciplines.
Bring a passion to stay on top of tech trends, experiment with and learn new technologies, and encourage innovation.
Engage in internal & external technology communities, and mentor members of the engineering community.
Collaborating as part of a cross-functional Agile team to create and enhance technology solutions that enables state of the art, next generation Big Data applications.
Lead, manage and grow multiple teams of product focused software and data engineers
Mentor and guide the professional and technical development of engineers on your team
Drive long-term strategy for the HR Data Warehouse Platform
Manage the development pipeline of distributed computing Big Data applications using Open Source frameworks like Apache Spark, Scala and Kafka on AWS Cloud
Utilizing programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift
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, Maven, Nexus, Chef, Terraform, Ruby, Git and Docker
Enforce company policies in areas of development methodology, architecture, security, change and configuration management, and compliance.
Ensure quality testing and conduct reviews with other team members to make sure code is rigorously designed, elegantly coded, and effectively tuned for performance
Enable and promote custom solutions with a "You Build, You Own" philosophy.
At least 6 years of experience in software development
At least 5 years of experience in data warehousing or analytics
At least 1 year of experience with data engineering
At least 1 year of experience with data modeling
At least 1 year of experience deploying, monitoring and maintaining a Cloud-based application
5 years of experience building software including systems and application design, code development and testing.
3 years of experience with UNIX/Linux environments
1 year of experience in Python, Scala, or R for data analysis
1 year of experience with the Hadoop Stack
1 year of experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, and Flink)
1 year of experience with Amazon Web Services (AWS) or Microsoft Azure or another public cloud
1 year of experience with the Hadoop stack (MapReduce, Pig, Hive and Hbase)
1 year of experience with MySQL, Postgres, Redshift, Snowflake.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.