Senior Data Engineer & Tech Lead (Hybrid)

HITEC; McLean (VA); Hybrid; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking a Data Engineer 5 (Senior Manager, IC) to drive transformation in data engineering. You will collaborate across agile teams, design and implement cloud-first data solutions, and mentor other engineers.

The role emphasizes architecture, scalability, and data platform decisions across Snowflake and Databricks. Ideal candidates have 6+ years in application development, 4+ years in distributed data, and strong Python/SQL/a data modeling skill set.

Qualifications

• Bachelor's degree in CS or related quantitative field.
• At least 6 years of application development experience.
• At least 4 years in distributed data.
• At least 4 years of SQL experience.
• At least 4 years programming in Python/Java/Scala.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement and support data solutions.
• Influence teams with ML, distributed microservices, lakehouse architecture, and full-stack systems.
• Utilize Python and Spark with SQL/NoSQL databases and cloud data warehousing.
• Mentor data community members and stay abreast of data trends.
• Deliver cloud-first data solutions that empower users.

Skills

Python

Spark

SQL

Data modeling

Machine learning

Education

Bachelor's Degree in Computer Science or related field

Tools

Databricks

Snowflake

Job description

Capital One is seeking a Data Engineer 5 (Senior Manager, IC) to drive transformation in data engineering. You will collaborate across agile teams, design and implement cloud-first data solutions, and mentor other engineers.

The role emphasizes architecture, scalability, and data platform decisions across Snowflake and Databricks. Ideal candidates have 6+ years in application development, 4+ years in distributed data, and strong Python/SQL/a data modeling skill set.