Lead Data Engineer Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI - Capital One

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 data, data modeling, data quality, governance and permissible use, and building data pipelines 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.

The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.

What You’ll Do:

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies

As a lead developer, work with a team of developers who have deep experience in data movement, distributed computing, and full-stack systems

Utilize programming languages like Python, SQL, and Open Source RDBMS and NoSQL databases and cloud-based data warehousing services such as Snowflake and Databricks

Optimize information systems for end-users and downstream application consumers by using sound data design practices

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:

Master's Degree

7+ years of experience in application development including Python, SQL, Spark, ETL tools, or AWS Glue

4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL)

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

4+ years of experience with NoSQL implementation (Mongo, Cassandra)