Data Engineer – AWS (LARA + ELA + Advanced AI Data Ingestion)
Job details
- Employment
- Full-time
- Posted
- Oct 29, 2026
- Last confirmed open
- Oct 30, 2026
- Job function
- Software/Internet/AI › Data & Analytics › Data Engineer
About this role
Job Information
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- 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
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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
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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