AI Data Engineer — Onsite Seattle, Build Scalable Pipelines

Blueprint Technologies; Seattle (WA); On-site; USD 150,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401k program

PTO offerings

Parental Leave

Job summary

Blueprint Technologies in Seattle, WA is seeking an AI Data Engineer to turn raw data into training-ready datasets. You will design Python-based pipelines, implement OCR and text workflows, and ensure data quality and traceability while managing datasets in Azure.

You will collaborate with applied scientists and engineers to translate AI training needs into scalable workflows and operate large-scale batch jobs that produce standardized outputs. The role is onsite five days a week.

Qualifications

• 5+ years of professional experience in data engineering or data science.
• Proficiency in Python with modular coding practices.
• Experience building datasets from raw data.
• Azure storage and data lake familiarity.
• Ability to process large-scale structured and unstructured data.

Responsibilities

• Design, develop, maintain, and optimize Python data pipelines for ingestion, processing, and transformation.
• Create datasets from raw data by collecting, organizing, cleaning, validating, and preparing.
• Develop OCR and text-processing workflows including extraction, normalization, filtering, segmentation, and deduplication.
• Run and monitor large-scale batch processing jobs, troubleshoot failures, and implement retries.
• Build automated data quality checks for data integrity and completeness.
• Prepare high-quality training datasets and manage data versioning and traceability.
• Collaborate with scientists and engineers to translate AI training needs into scalable workflows.

Skills

Python

Data pipelines

Azure

SQL

Data quality

Linux

Tools

Azure Databricks

Hugging Face Datasets

PySpark

Git

CI/CD

Job description

Blueprint Technologies in Seattle, WA is seeking an AI Data Engineer to turn raw data into training-ready datasets. You will design Python-based pipelines, implement OCR and text workflows, and ensure data quality and traceability while managing datasets in Azure.

You will collaborate with applied scientists and engineers to translate AI training needs into scalable workflows and operate large-scale batch jobs that produce standardized outputs. The role is onsite five days a week.