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AI Data Engineer

Exclusive opportunity

Onsite

AI Data Engineer

Workerbee

AI Data Engineer

Skills

SQL QueriesData EngineeringPythonSnowflakeDatabricksAIElasticsearchdbtApache Airflow

2 months ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

14 August 2026

What they need


AI Data Engineer (Retrieval and Context Pipelines)

Employment type: Full-time, contract, or project-based

C2C not available | No third-party suppliers

Workerbee employees will not respond to direct communication attempts via email, phone, social media, or LinkedIn regarding status within the talent network or customer needs. Any such inquiries will not receive a response.

About Workerbee

Workerbee connects workers with employers through trusted introductions.

By joining Workerbee you can be matched for project-based, contract, or permanent opportunities with leading organizations.

Over time, Workerbee helps you:

  • Keep a living record of what you have actually accomplished
  • See how your experience carries across roles and paths
  • Explore options without pressure to apply
  • Move through change with clarity instead of urgency

We are connected to those who hire talent and are in need of AI Data Engineers.

In this work, you help employers solve complex problems and bring real value through hands-on expertise in data engineering for AI systems, retrieval pipelines, and context delivery.

Where Your Expertise Makes an Impact

  • Build the ingestion, chunking, embedding, and indexing pipelines that feed retrieval-augmented AI applications
  • Model and govern unstructured and semi-structured company data so AI systems return accurate, permissioned results
  • Develop batch and streaming pipelines with tools such as dbt, Airflow, Spark, Snowflake, Databricks, or BigQuery
  • Tune retrieval quality through chunking strategy, hybrid search, reranking, and metadata filtering
  • Establish data quality checks, lineage, and refresh cadence so downstream AI output stays trustworthy

What Stands Out Among Top Talent

  • 5+ years in data engineering with production pipelines running at scale
  • Strong SQL and Python plus hands-on work with a modern warehouse or lakehouse platform
  • Practical experience with vector databases such as Pinecone, pgvector, Weaviate, or Elasticsearch
  • Understanding of access control, PII handling, and data residency in AI use cases
  • Ability to diagnose why a retrieval system returns poor answers and fix the data behind it

Why Join Workerbee

  • Earlier visibility into opportunities
  • Better-fit introductions
  • Access to meaningful work
  • Less application noise
  • A network that improves over time

Workerbee Terms of Service

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