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RADcube

Indianapolis, Indiana
Sourced from Indeed

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

ExperienceNot specified
Work modeOn-Site
SalaryNot disclosed
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About the role

Job Information

• Date Opened 10/29/2026

• Industry Technology

• Job Type Full time

• Years of Experience 4-8

• City Indianapolis

• State/Province Indiana

• Country United States

• Zip/Postal Code 46204

About Us

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. Their core service portfolio includes:

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

• Build reusable, metadata-driven ingestion frameworks

Requirements

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

• Nice to have: Bedrock, vector databases, OpenSearch