Manager, Data Engineering; Python, AWS, Airflow, Snowflake; Hybrid

• Full-time

Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities:
Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name:
Capital One

Center 1 (19052), United States of America, McLean, Virginia. Manager, Data Engineering (Python, AWS, Airflow, Snowflake) (Hybrid).

We are looking for driven individuals to join our team of passionate data engineers in creating Capital One’s next generation of data products and capabilities.

• Build data pipeline frameworks to automate high-volume and real-time data delivery for our Hadoop and streaming data hub.
• Build data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners.
• Transform complex analytical models into scalable, production-ready solutions.
• Continuously integrate and ship code into our on premise and cloud Production environments.
• Develop applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and No
  
  SQL.
• Work directly with Product Owners and customers to deliver data products in a collaborative and agile environment.

• Lead and develop sustainable data driven solutions with current new gen data technologies to meet the needs of our organization and business customers.
• Master new technologies rapidly as needed to progress varied initiatives.
• Break down complex data issues and resolve them.
• Build robust systems with an eye on the long term maintenance and support of the application.
• Leverage reusable code modules to solve problems across the team and organization.
• Drive cross team design and influencing / development via technical leadership / mentoring.
• Influence cross team/matrix organization.
• Broader knowledge sharing.
• Provide technical guidance to team members.
• Understand complex multi-tier, multi-platform systems.
• Manage a team of data engineers (both full-time associates and/or third party resources).

• Bachelor’s Degree.
• At least 6 years of experience in application development (Internship experience does not apply).
• At least 2 years of experience in big data technologies.
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
• At least 2 years of people management experience.

• Master’s Degree.
• 7+ years of experience in application development (Python, SQL, Scala, or Java).
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud).
• 4+ years experience with Distributed data/computing tools (Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
• 4+ year experience working on real-time data and streaming applications.
• 4+ years of experience with No
  
  SQL implementation (Mongo, Cassandra).
• 4+ years of data warehousing experience (Redshift or Snowflake).
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting.
• 4+ years of experience with Agile engineering practices.

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): $197,400 - $225,300 for Manager, Data Engineering.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the…