Lead Data Engineer – Marketing Tech & Data Innovation

Capital One; Deerfield (IL); On-site; USD 179,400 - 204,700; Full time

Job summary

Capital One is seeking a Lead Data Engineer to design, develop, and deploy data solutions at scale. You will collaborate with Agile teams across ML and distributed microservices, using Java, Python, Scala, SQL and cloud data warehouses such as Redshift and Snowflake.

You will mentor peers, stay ahead of technology trends, and contribute to high-impact projects that empower millions of customers. Location options include multiple Capital One sites with competitive compensation.

Qualifications

• Bachelor’s degree is required.
• At least 4 years of application development experience.
• At least 2 years of big data technologies experience.
• At least 1 year of cloud computing experience (AWS, Azure, or Google Cloud).

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support solutions.
• Work with teams using ML, distributed microservices, and full stack systems.
• Utilize Java, Python, Scala, and SQL with Redshift/Snowflake.
• Mentor other engineers and stay current with tech trends.
• Deliver cloud-based data solutions to improve customer experiences.

Skills

Java

Python

Scala

SQL

Spark

Hadoop

Kafka

Education

Bachelor’s Degree

Tools

Redshift

Snowflake

AWS

Hive

Kafka

Job description

Capital One is seeking a Lead Data Engineer to design, develop, and deploy data solutions at scale. You will collaborate with Agile teams across ML and distributed microservices, using Java, Python, Scala, SQL and cloud data warehouses such as Redshift and Snowflake.

You will mentor peers, stay ahead of technology trends, and contribute to high-impact projects that empower millions of customers. Location options include multiple Capital One sites with competitive compensation.