Senior Data Engineer (Python, Spark, AWS)

Overview

Center 1 (19052), United States of America, McLean, Virginia

Senior Data Engineer (Python, Spark, AWS)

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 Engineerswho are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

About the Team:

Team Astros is a full-stack & data engineering (full-stack+) team responsible for Premium and Multi-User experiences across Capital One’s customer facing servicing platforms. We are working on a greenfield roadmap that will expand the customer’s ability to manage their benefits and authorized users on their account with new capabilities built by our team. We build upon various frontend and backend applications, including data pipelines. You will learn and directly contribute to a complex problem space (data lakes & streams), ETL pipelines (Python, Spark, AWS Glue, S3 buckets), and more to enable new account servicing capabilities with the opportunity to make material contributions to customer facing web features and API services. You will enjoy a fast-paced environment, cross-team collaboration, and a pioneering culture where new ideas and solutions are encouraged and rewarded.

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 distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL 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 3 years of experience in application development (Internship experience does not apply)
• At least 1 year of experience in big data technologies

Preferred Qualifications:

• 5+ years of experience in application development including Python, SQL, Scala, or Java
• 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
• 2+ year experience working on real-time data and streaming applications
• 2+ years of experience with NoSQL implementation (Mongo, Cassandra)
• 2+ years of data warehousing experience (Redshift or Snowflake)
• 3+ 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, 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.

New York City (Hybrid On-Site): $165,100 - $188,500 for Senior 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.