AI Data Engineer: Build Scalable Python Pipelines & Datasets

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

Benefits offered by this job

Health coverage

Flexible Spending Account (FSA)

401k program

Paid time off

Professional growth and development

Job summary

Blueprint Technologies, LLC in the Seattle area is seeking a data engineer to develop Python-based data pipelines for large-scale data ingestion and transformation, and to build datasets from raw data for AI model training. You will work with Azure storage, collaborate with data scientists and engineers, and help ensure data quality and security across workflows.

You will design scalable data workflows, optimize performance, and contribute to OCR and text processing pipelines while maintaining

Qualifications

• 5+ years of professional experience in data engineering or data science.
• Strong Python proficiency with reusable modules and testing.
• Experience building datasets from scratch and handling large-scale data.

Responsibilities

• Design, develop, and optimize Python data pipelines for large-scale data ingestion, processing, and transformation.
• Build datasets from the ground up by collecting, organizing, cleaning, validating, and preparing raw structured and unstructured data.
• Develop workflows for OCR processing, text extraction, normalization, filtering, segmentation, and deduplication.
• Execute and monitor large-scale batch processing jobs, troubleshoot failures, and implement automated retry and recovery mechanisms.
• Develop automated data quality checks to identify missing or corrupted files, incomplete processing outputs, duplicate records, formatting issues, and metadata inconsistencies.
• Prepare high-quality, training-ready datasets through data filtering, tokenization, text segmentation, and conversion into standardized formats.
• Manage bulk data uploads, downloads, and synchronization between local processing environments and Azure storage platforms.
• Maintain organized datasets with consistent naming conventions, metadata, version control, and source traceability.
• Optimize data processing performance, memory utilization, storage efficiency, and cloud resource consumption.
• Monitor dataset statistics, processing coverage, quality metrics, and exceptions while generating operational reports.
• Collaborate with applied scientists and engineering teams to translate AI training requirements into scalable and repeatable data workflows.
• Maintain documented, tested, and version-controlled code while following established data security and governance requirements.

Skills

Python

Data engineering

SQL

Data quality

Tools

Azure Blob Storage

Azure Data Lake Storage

pandas

NumPy

Parquet

Job description

Blueprint Technologies, LLC in the Seattle area is seeking a data engineer to develop Python-based data pipelines for large-scale data ingestion and transformation, and to build datasets from raw data for AI model training. You will work with Azure storage, collaborate with data scientists and engineers, and help ensure data quality and security across workflows.

You will design scalable data workflows, optimize performance, and contribute to OCR and text processing pipelines while maintaining