Lead Data Engineer, Enterprise Platforms Tech

capitalone; New York (NY); On-site; USD 215,200 - 245,600; Full time

Job summary

Capital One seeks a Lead Data Engineer to drive data-driven solutions across agile teams. You will collaborate with developers experienced in ML, distributed microservices, and full-stack systems to build and optimize cloud-based data platforms using Java, Python, Scala, and SQL, with Redshift/Snowflake.

Mentoring peers and staying current with tech trends are valued aspects of the role. NY-based opportunity emphasizes delivering impactful experiences for customers and performance tuning through

Qualifications

• Bachelor’s Degree in a relevant field.
• At least 4 years of application development experience (Internship experience does not apply).
• At least 2 years of experience in big data technologies.
• At least 1 year of 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+ years 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

Python

SQL

Java

Scala

Big data

Cloud computing

Agile engineering

Education

Bachelor’s Degree

Tools

AWS

Azure

Google Cloud

Redshift

Snowflake

Hadoop

Hive

EMR

Kafka

Spark

MongoDB

Cassandra

MySQL

UNIX/Linux

Job description

Capital One seeks a Lead Data Engineer to drive data-driven solutions across agile teams. You will collaborate with developers experienced in ML, distributed microservices, and full-stack systems to build and optimize cloud-based data platforms using Java, Python, Scala, and SQL, with Redshift/Snowflake.

Mentoring peers and staying current with tech trends are valued aspects of the role. NY-based opportunity emphasizes delivering impactful experiences for customers and performance tuning through