Senior Data Engineer — Cloud, Lakehouse & Pipelines

Capital One National Association

New York (NY)

On-site

USD 215,000 - 246,000

Full time

4 days ago

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Job summary

Capital One, a leader in financial services, is seeking a Data Engineer 4 to join a collaborative analytics team in New York. The role focuses on building cloud-first data platforms, designing scalable pipelines, and mentoring peers across ML, distributed systems, and lakehouse architectures.

The candidate will use Python, Spark, and SQL with Databricks and Snowflake, while ensuring data security and governance across large data volumes.

Qualifications

Bachelor's degree in CS or related quantitative field is required.
4+ years in application development; 2+ years in distributed data.
2+ years of SQL experience and 2+ years in one programming language (Python/Java/Scala).
2+ years in data pipeline design and end-to-end data solutions.

Responsibilities

Collaborate with Agile teams to design, develop, test, and support data solutions.
Influence a team with ML, microservices, lakehouse architecture, and full-stack systems.
Use Python, Spark, SQL and cloud data warehousing platforms like Databricks/Snowflake.
Mentor data community members and share trends in data technology.
Deliver cloud-first data solutions that empower customers nationally.
Design, build and deliver scalable data pipelines and platforms.
Enforce data engineering design patterns for quality and reusability.
Communicate technical concepts clearly to stakeholders to drive alignment.
Ensure data security and access controls, encryption, and compliance.