Lead Data Engineer: Cloud-Native & Real-Time Data

Capital One; Los Angeles (CA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Lead Data Engineer to collaborate with Agile teams and build robust cloud-based data solutions. You will work with machine learning oriented teams, distributed microservices, and a range of SQL/NoSQL databases to empower financial services at scale.

The role emphasizes design, performance tuning, and mentorship, with opportunities across AWS/Azure/GCP environments and data warehousing experiences in Redshift or Snowflake.

Qualifications

• Bachelor’s degree required.
• At least 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 Agile teams to design, develop, test, and support technical solutions.
• Work with developers experienced in machine learning, distributed microservices, and full stack systems.
• Utilize programming languages like Java, Scala, Python and SQL; work with Redshift/Snowflake.

Skills

Java

Python

Scala

SQL

Spark

Hadoop

Cloud Computing

Education

Bachelor's Degree

Tools

Redshift

Snowflake

MongoDB

Cassandra

Kafka

Job description

Capital One is seeking a Lead Data Engineer to collaborate with Agile teams and build robust cloud-based data solutions. You will work with machine learning oriented teams, distributed microservices, and a range of SQL/NoSQL databases to empower financial services at scale.

The role emphasizes design, performance tuning, and mentorship, with opportunities across AWS/Azure/GCP environments and data warehousing experiences in Redshift or Snowflake.