Company Description
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
Job Description
West Creek 6 (12076), United States of America, Richmond, Virginia
Lead Software Engineer, Backend (Scala, Spark)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers, and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
Team Info:
The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security, and scale. You’ll focus on designing and implementing platform architecture to ensure high availability of our managed environment. You will have an opportunity to work on the application service layer written in Spark and Scala running on EMR’s orchestrated by Python Lambdas, debug application and environment issues, and optimize compute utilization at Capital One.
What You’ll Do:
- Lead the technical design and solutions with deep experience in distributed computing handling data processing at scale of processing trillions of records every day.
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code.
- Collaborate with product managers, and deliver robust cloud-based solutions that drive powerful experiences to help Capital One operate Data Processing platform.
- Utilize programming languages like Scala Spark, Python, NoSQL databases and a variety of AWS tools and services.
Basic Qualifications:
- Bachelor’s Degree
- At least 6 years of professional software engineering experience (Internship experience does not apply)
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
Preferred Qualifications:
- Master's Degree
- 7+ years of experience in at least one of the following: Scala, Python
- 3+ years of experience with Spark
- 3+ years of experience with AWS, GCP, Azure, or another cloud service
- 4+ years of experience in open source frameworks
- 1+ years of people management experience
- 2+ years of experience in Agile practices.
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
#J-18808-Ljbffr