Senior Data Engineer - Cloud, ML & Big Data

Capital One; Richmond (VA); On-site; USD 144,000 - 165,000; Full time

Benefits offered by this job

Comprehensive health benefits

Financial wellness programs

Performance-based bonuses

Inclusive workplace culture

Job summary

An established industry player is seeking a Senior Data Engineer to join their innovative team. In this role, you will work collaboratively to design and implement cutting-edge solutions that leverage data and emerging technologies. You will be responsible for developing robust cloud-based applications and driving transformation within the organization. If you are passionate about data engineering and eager to tackle complex challenges in a dynamic environment, this opportunity is perfect for you. Join a diverse team dedicated to empowering millions of customers through technology and data-driven insights.

Qualifications

• 3+ years of experience in application development, including big data technologies.
• Experience with cloud services and distributed data tools is preferred.

Responsibilities

• Collaborate with Agile teams to design and implement technical solutions.
• Utilize programming languages and cloud services for data warehousing.

Skills

Python

Java

Scala

SQL

Big Data Technologies

Agile Engineering Practices

UNIX/Linux

Education

Bachelor's Degree

Tools

AWS

Google Cloud

Microsoft Azure

Redshift

Snowflake

Hadoop

Spark

Kafka

MapReduce

Hive

Job description

An established industry player is seeking a Senior Data Engineer to join their innovative team. In this role, you will work collaboratively to design and implement cutting-edge solutions that leverage data and emerging technologies. You will be responsible for developing robust cloud-based applications and driving transformation within the organization. If you are passionate about data engineering and eager to tackle complex challenges in a dynamic environment, this opportunity is perfect for you. Join a diverse team dedicated to empowering millions of customers through technology and data-driven insights.