IND - Associate Engineer, Data

Description

Job Overview

• Source: The Muse

Job Description

IND Associate Engineer, Data - GCC061
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Key Responsibilities

• Data and AI Engineer responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions.

• Implement efficient Retrieval-Augmented Generation (RAG) architectures and integration with enterprise data infrastructure.

• Build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar.

• Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc.

• Develop AI-driven systems to improve data capabilities

• Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management.

• Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems.

• Bachelor's degree in computer science , Artificial Intelligence, or related field.

• 2 years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark, Datamesh , Datalake or Data Fabric.

• Less than 2 years of experience will be considered with advanced degree & applicable internship experience.

• 1+ years' experience with cloud platforms (AWS, GCP, or Azure)

• 1+ years of data engineering experience focused on supporting AI technologies.

• 1+ years implementing AI data solutions.

• 1+ years with prompt engineering techniques for large language models.

• 1+ years in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.

• 1+ years implementing AI driven data systems supporting agentic solutions (AWS Lambda, S3, EC2, Langchain , Langgraph ).

• 1+ years of programming skills in Python

• 1+ years with building AI pipelines that bring together structured, semi-structured and unstructured data .

• 1+ years in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.).

• Strong written and verbal communication skills

• Able to communicate effectively with technical teams

• Team player who collaborates effectively across teams

• Strong organization and execution skills .

• Strong interpersonal and time management skills

• Ability to work successfully in a lean, agile, and fast-paced organization, leveraging Agile principles and ways of working.

• Ability to translate technical topics into business solutions and strategies

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.