Data Engineer – AWS (LARA + ELA + Advanced AI Data Ingestion)

RADcube - A NLogix Company; Indianapolis (IN); On-site; USD 110,000 - 170,000; Full time

Job summary

RADcube - A NLogix Company in Indianapolis seeks a Data Engineer – AWS to design ingestion pipelines for analytics and AI/GenAI use cases. You will ingest data from multiple sources into the AWS data lake and collaborate with data scientists and engineers.

Ideal candidates have 4+ years of AWS experience (Glue, S3, Lambda, Step Functions, Kinesis), Python and PySpark, with Nice to have Bedrock, vector databases, OpenSearch. Join an innovation-driven team building cutting-edge solutions.

Qualifications

• Must have: 4+ yrs, AWS (Glue, S3, Lambda, Step Functions, Kinesis), Python, PySpark.
• Nice to have: Bedrock, vector databases, OpenSearch

Responsibilities

• Design ingestion pipelines feeding analytics and AI/GenAI use cases.
• Ingest structured and unstructured data from multiple sources into the AWS data lake.
• Prepare AI-ready datasets, including document parsing, chunking and embedding pipelines

Skills

AWS (Glue, S3, Lambda, Step Functions,

Python

PySpark

Job description

Data Engineer – AWS (LARA + ELA + Advanced AI Data Ingestion)

Indianapolis, United States

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing.

• Digital Transformation and strategy consulting.


• Custom Software Development tailored to specific business needs.


• Advanced Data Analytics and AI-driven platforms.


• Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

• 2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.


• Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

Job Description

Design ingestion pipelines feeding analytics and AI/GenAI use cases.

• Ingest structured and unstructured data from multiple sources into the AWS data lake


• Prepare AI-ready datasets, including document parsing, chunking and embedding pipelines

Requirements

• Must have: 4+ yrs, AWS (Glue, S3, Lambda, Step Functions, Kinesis), Python, PySpark.


• Nice to have:Bedrock, vector databases, OpenSearch