Lead Data Engineer - GenAI & Cloud (Python/AWS/Spark)

Capital One; New York (NY); On-site; USD 215,000 - 246,000; Full time

Benefits offered by this job

Health benefits

Employee perks

Job summary

Capital One invites a Lead Data Engineer to shape data pipelines and AI-enabled platforms in New York. You will collaborate with agile teams to design, build, and optimize end-to-end data solutions, using Python, SQL, Spark, and cloud services.

You will mentor engineers, implement scalable data architectures, and contribute to a culture of continuous learning while delivering robust, market-ready capabilities for widespread use.

Qualifications

• Bachelor’s degree required.
• 4+ years of experience in application development.
• At least 2 years of experience in big data technologies.
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud).

Responsibilities

• 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 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.

Skills

Python

AWS

Spark

SQL

Snowflake

Databricks

GenAI

Education

Bachelor’s Degree

Tools

Redshift

Snowflake

Hadoop

Kafka

Spark

Job description

Capital One invites a Lead Data Engineer to shape data pipelines and AI-enabled platforms in New York. You will collaborate with agile teams to design, build, and optimize end-to-end data solutions, using Python, SQL, Spark, and cloud services.

You will mentor engineers, implement scalable data architectures, and contribute to a culture of continuous learning while delivering robust, market-ready capabilities for widespread use.