Lead Data Engineer (Generative AI)

Lead Data Engineer (Generative AI)

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 (Generative AI), you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. 

The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business.

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 cross-functional team of applied researchers, data scientists, software engineers, machine learning engineers and product managers to test and design AI- powered products that change how customers interact with their money.

• Utilize a broad stack of technologies, including AWS Ultraclusters, Spark, Kubeflow, and more, to support the data pipelines fueling Capital One’s customer behavior foundation models. 

• 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

• 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 (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL)

• 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale

• 4+ years of experience with UNIX/Linux including basic commands and shell scripting

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

• 2+ years of data warehousing experience (Redshift or Snowflake) 

• 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.

Boston, MA: $193,400 - $220,700 for Lead Data Engineer

 

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

 

New York, NY: $211,000 - $240,800 for Lead Data Engineer

 

San Francisco, CA: $211,000 - $240,800 for Lead Data Engineer