Lead Data Engineer - Cloud, Spark & GenAI

Capital One National Association

Virginia, Northern (IL, KY)

Hybrid

USD 197,000 - 225,000

Full time

4 days ago
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Job summary

Capital One is seeking a Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) to design and deliver data pipelines in a collaborative, Agile environment. You will mentor engineers, work with cloud-based data warehouses, and ensure data quality and governance across platforms.

The role emphasizes real-time data, distributed computing, and E2E delivery with mentoring and technology evangelism, in a fast-paced financial tech setting.

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)

Responsibilities

  • 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

Skills

Python
SQL
Spark
Kafka
NoSQL databases
Cloud computing
Snowflake
Databricks
GenAI tooling

Education

Bachelor's Degree
Master's Degree

Tools

Snowflake
Databricks
Redshift
Hadoop

Job description

Capital One is seeking a Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) to design and deliver data pipelines in a collaborative, Agile environment. You will mentor engineers, work with cloud-based data warehouses, and ensure data quality and governance across platforms.

The role emphasizes real-time data, distributed computing, and E2E delivery with mentoring and technology evangelism, in a fast-paced financial tech setting.

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