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

Location
Indianapolis
Workplace
On-site
Employment
Full-time

About this role

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


Tired of cold applications?

Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.

Ask your AI about this role

Connect Clera once, then ask if it fits you.

Ask about this role

Read the Data Engineer – AWS (LARA + ELA + Advanced AI Data Ingestion) listing at RADcube (https://www.getclera.com/jobs/radcube/data-engineer-aws-lara-ela-advanced-ai-data-ingestion-nd5gqspmqngt) and tell me whether it fits my profile. Save it for me if it does.
Not connected yet? Takes a minute
One click above pre-fills the connector. Or by hand: Settings > Connectors > Add custom connector, paste https://mcp.getclera.com. Either way, sign in with the account you use on Clera and approve the consent screen.
https://mcp.getclera.com

Sign in with your Clera account. MCP docs