Lead Data Engineer: Real-Time Intelligent Foundations

Capital One; Cambridge (MA); On-site; USD 197,300 - 225,100; Full time

Job summary

Capital One seeks a Lead Data Engineer in Cambridge, MA to drive a major transformation by building real-time data platforms and cloud-based solutions. You’ll collaborate with Agile teams, mentor engineers, and work with ML and distributed systems to deliver robust data solutions.

The role requires 4+ years of application development and big data experience, plus proficiency in Java/Scala/Python and experience with Redshift, Snowflake, Hadoop, Kafka, and Spark.

Qualifications

• Requires a Bachelor's Degree and 4+ years in application development or data engineering.
• Experience with big data technologies and 1+ year in cloud computing (AWS/Azure/GCP).
• Proficiency in Java, Scala, Python and SQL in distributed data environments.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Work with teams experienced in ML, distributed microservices, and full-stack systems.
• Build cloud-based data platforms and warehousing using Redshift/Snowflake.

Skills

Big data

Cloud computing

Java/Scala/Python

Data engineering

Education

Bachelor's Degree

Tools

Redshift

Snowflake

Hadoop

Kafka

Spark

Job description

Capital One seeks a Lead Data Engineer in Cambridge, MA to drive a major transformation by building real-time data platforms and cloud-based solutions. You’ll collaborate with Agile teams, mentor engineers, and work with ML and distributed systems to deliver robust data solutions.

The role requires 4+ years of application development and big data experience, plus proficiency in Java/Scala/Python and experience with Redshift, Snowflake, Hadoop, Kafka, and Spark.