Gen AI Data Engineering Analyst — In-Person Role

AIG; Atlanta (GA); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Total Rewards Program

In-office four days a week

Job summary

AIG is seeking an Analyst in the Gen AI Data Engineering department to help design and operationalize cloud-native big data solutions that enable AI models and analytics. You will collaborate across teams to deliver data solutions, ensuring scalability and sustainability to drive business growth.

Join a program designed for early career talent with hands-on experiences, mentoring, and exposure to senior leaders.

Qualifications

• Recent direct experience in data engineering, programming, and delivering scalable data solutions.

Responsibilities

• Collaborating with stakeholders to identify and deliver innovative data solutions that meet the evolving needs of the business.
• Building and maintaining cloud-native big data solutions, advanced analytics products and Gen AI models.
• Partnering with data architects and senior engineers to implement best practices, ensuring sustainable and scalable technical designs.
• Working closely with analytics, application development, and data science teams to foster collaboration and drive innovation.
• Delivering on-time, high-quality results on fast-paced schedules while maintaining rigorous standards for development and code management.

Skills

Data engineering

Analytical thinking

Problem solving

Communication

Education

Bachelor’s degree in CS/Engineering/Data/Math/Stats

Tools

Hadoop

HDFS

Spark

Kubernetes

ElasticSearch

Palantir Foundry

Snowflake

AWS SageMaker

PySpark

R

Spark SQL

Java

JavaScript

TypeScript

Job description

AIG is seeking an Analyst in the Gen AI Data Engineering department to help design and operationalize cloud-native big data solutions that enable AI models and analytics. You will collaborate across teams to deliver data solutions, ensuring scalability and sustainability to drive business growth.

Join a program designed for early career talent with hands-on experiences, mentoring, and exposure to senior leaders.