Lead Data Engineer: Cloud, Big Data & ML Transformation

Capital One; North Dakota; On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One seeks a Lead Data Engineer (Bank Tech) to design, build, and optimize data-driven solutions across cloud and on-premises architectures. You will collaborate with agile teams, develop with Java/Scala/Python, and work with Redshift/Snowflake, Hadoop, Kafka, Spark, and NoSQL technologies to empower financial services for millions of customers.

The role emphasizes real-time data processing, distributed systems, and mentorship within a diverse engineering community.

Qualifications

• Bachelor’s Degree
• At least 4 years of experience in application development (Internship experience does not apply)
• At least 2 years of experience in big data technologies
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
• 7+ years of experience in application development including Python, SQL, Scala, or Java
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
• 4+ year experience working on real-time data and streaming applications
• 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
• 4+ years of data warehousing experience (Redshift or Snowflake)
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting
• 2+ years of experience with Agile engineering practices

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Skills

Java

Python

Scala

Big data

Cloud computing

NoSQL

SQL

Kafka

Spark

Hadoop

Unix/Linux

Agile

Education

Bachelor's Degree

Tools

Redshift

Snowflake

MongoDB

Cassandra

Hadoop

Kafka

Spark

MySQL

Job description

Capital One seeks a Lead Data Engineer (Bank Tech) to design, build, and optimize data-driven solutions across cloud and on-premises architectures. You will collaborate with agile teams, develop with Java/Scala/Python, and work with Redshift/Snowflake, Hadoop, Kafka, Spark, and NoSQL technologies to empower financial services for millions of customers.

The role emphasizes real-time data processing, distributed systems, and mentorship within a diverse engineering community.