Senior Data Engineer, Marketing Technology Platform

Capital One; Riverwoods (IL); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Lead Data Engineer for Marketing Technology (Enterprise Platforms Technology). You will collaborate with agile teams to design and implement cloud-native data solutions, leveraging Java, Scala, Python, and NoSQL/SQL databases with Redshift or Snowflake.

The role emphasizes ML, streaming data, and modern data platforms to empower customer experiences. You will mentor peers, align with product managers, and ensure robust, high-performance data pipelines across distributed

Qualifications

• Bachelor’s Degree required, with relevant experience.
• 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, GCP).

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support technical solutions across full-stack tools.
• Work with a team experienced in ML, distributed microservices, and full stack systems.
• Utilize Java, Scala, Python and RDBMS/NoSQL databases; leverage cloud data warehousing like Redshift or Snowflake.
• Mentor engineers, stay current with tech trends, and contribute to internal/external communities.
• Deliver cloud-based experiences to support financial empowerment for millions of users.
• Perform unit tests and code reviews to ensure robust, efficient solutions.

Skills

Java

Scala

Python

SQL

Big data

Cloud

NoSQL

Spark

Hadoop

Agile

Education

Bachelor’s Degree

Tools

MapReduce

Hadoop

Hive

EMR

Kafka

Spark

Gurobi

MySQL

Job description

Capital One is seeking a Lead Data Engineer for Marketing Technology (Enterprise Platforms Technology). You will collaborate with agile teams to design and implement cloud-native data solutions, leveraging Java, Scala, Python, and NoSQL/SQL databases with Redshift or Snowflake.

The role emphasizes ML, streaming data, and modern data platforms to empower customer experiences. You will mentor peers, align with product managers, and ensure robust, high-performance data pipelines across distributed