Lead Data Engineer (Python, PySpark, DynamoDB) (Enterprise Platforms Technology)

Lead Data Engineer (Python, PySpark, DynamoDB) (Enterprise Platforms Technology)

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 solve real problems and meet real customer needs. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Who We Are:

Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems

• Utilize programming languages like Python, Open Source RDBMS and NoSQL databases

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

• Collaborate with cloud enablement product manager, and deliver robust cloud-based solutions

Basic Qualifications:

• Bachelor’s Degree

• At least 4 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)

Preferred Qualifications:

• 6+ years of experience in application development including Python

• 4+ years of experience with a public cloud AWS

• 4+ year experience working on real-time data and streaming applications

• 1+ years of experience with NoSQL implementation DynamoDB

• 2+ years of experience with Agile engineering practices

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).

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.

McLean, VA: $193,400 - $220,700 for Lead Data Engineer

Plano, TX: $175,800 - $200,700 for Lead Data Engineer

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 candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.