Lead Data Engineer; Foundations

Lead Data Engineer (Intelligent Foundations and Experiences)

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. We are seeking

Data Engineers

who are passionate about marrying data with emerging technologies. 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.

Intelligent Foundations & Experiences (IFX)

is a powerful collective of horizontal technology organizations that are driving Capital One’s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed.

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 Java, Scala, Python and Open Source RDBMS and No

SQL databases and Cloud based data warehousing services such as Redshift and Snowflake

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 digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

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:

7+ years of experience in application development including 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

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, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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

Richmond, VA: $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…