RADcube LLC

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

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Indianapolis, IN, USA

In-Office

Mid level

Artificial Intelligence • Software • Consulting • Automation

The Role

Designs and builds AWS data ingestion pipelines for structured and unstructured data supporting analytics and AI/GenAI use cases. Responsibilities include developing data lake ingestion frameworks, preparing AI-ready datasets through document parsing, chunking, and embedding pipelines, and creating reusable metadata-driven solutions. Requires AWS services, Python, and PySpark experience, with Bedrock, vector databases, and OpenSearch as preferred skills.

Summary Generated by Built In

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

Skills Required

4+ years of experience
AWS Glue experience
Amazon S3 experience
AWS Lambda experience
AWS Step Functions experience
Amazon Kinesis experience
Python experience
PySpark experience
Amazon Bedrock experience
Vector database experience
OpenSearch experience

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The Company

HQ: Indianapolis, IN

96 Employees

Year Founded: 2015

What We Do

RADcube is a technology consulting and software development firm founded in 2015 and headquartered in Carmel, Indiana. It helps organizations turn enterprise ideas into practical innovations through digital transformation, custom software, data analytics, artificial intelligence, cloud computing, cybersecurity, and intelligent automation. The company serves healthcare, finance, government, and manufacturing clients, combining human-centric delivery with responsible, accountable technology solutions designed to produce measurable business outcomes.