Data Engineer - Capital One Software (Remote)

Recruiting : US Remote, United States of AmericaData Engineer - Capital One Software (Remote)

Capital One has been a pioneer through our tech journey as the first large bank to go all in on the public cloud, while operating in a complex and highly regulated business environment.

We have built out a large engineering organization, moved to the cloud, re-architected our applications and data platforms, and embraced machine learning at scale.

Our AI / ML capabilities are now at the forefront of what’s possible in banking. (e.g., Capital One Eno).

Our teams have built and battle tested new capabilities to meet those needs. We’ve open sourced several of the software tools we built (e.

g., Cloud Custodian, Hygieia) and forged new partnerships with other digital leaders (e.g., Microsoft, MSFT).

Through this journey, we've developed a suite of internal solutions uniquely designed to meet the challenges of a digital-first, cloud-first business at scale.

We also recognize that many other businesses are facing similar data management needs as they accelerate their cloud and data journeys, and are exploring how best to bring some of the tools to market as enterprise B2B software solutions.

Capital One Software is seeking a Senior Associate, Data Engineer who is passionate about marrying innovation with emerging technologies.

As a Capital One Senior Associate, Data Engineer you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

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 expertise in 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 & architects, 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 2 years of experience in application development (Internship experience does not apply)

At least 1 years of experience in big data technologies

At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications :

3+ 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)

2+ years experience with Distributed data / computing tools (EMR, Kafka, 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)

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

2+ years of experience with Agile engineering practices

1+ years of experience with Salesforce / other ERP solutions

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

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.

Remote (Regardless of Location) : $117,400 - $134,000 for Data Engineer