Lead Data Engineer: Cloud, ML & Big Data Innovator

Capital One Group; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking a Lead Data Engineer in McLean, VA to influence architecture, mentor teams, and deliver cloud-based data solutions. You’ll work across Agile teams on full-stack data engineering, using Java/Scala/Python, Spark, and modern data warehouses like Redshift or Snowflake.

Real-time data streaming, NoSQL/SQL databases, and distributed systems will be central to this role. The role emphasizes collaboration, performance-optimized code, and ongoing learning in a fast-paced

Qualifications

• Bachelor’s Degree in a related field.
• 4+ years of application development experience.
• 2+ years of experience with big data technologies.
• 1+ year of cloud computing experience (AWS/Azure/Google).

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support technical solutions.
• Work with teams skilled in machine learning, distributed microservices, and full-stack systems.
• Utilize Java, Scala, Python and SQL/NoSQL databases and cloud data warehousing services.
• Mentor other engineers and contribute to technical communities.

Skills

Java

Python

Scala

Big data concepts

Distributed systems

Education

Bachelor's Degree

Tools

Redshift

Snowflake

Hadoop

Kafka

Spark

MongoDB

Cassandra

MySQL

Unix/Linux

Job description

Capital One is seeking a Lead Data Engineer in McLean, VA to influence architecture, mentor teams, and deliver cloud-based data solutions. You’ll work across Agile teams on full-stack data engineering, using Java/Scala/Python, Spark, and modern data warehouses like Redshift or Snowflake.

Real-time data streaming, NoSQL/SQL databases, and distributed systems will be central to this role. The role emphasizes collaboration, performance-optimized code, and ongoing learning in a fast-paced