AI Data Engineer - AI Training Data

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 is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting strategy and execution across AI, cloud, data, product development, and emerging technology.

Our culture is built by people who care deeply about doing exceptional work. We set high standards, take ownership, and continually challenge ourselves and one another to be better. We work hard, support each other, and take genuine pride in what we deliver for our clients, partners, and teams.

At Blueprint, you’ll work alongside talented people with different experiences, expertise, and perspectives. You’ll have opportunities to take on meaningful challenges, expand your skills, and see the impact of what you build.

Bring your perspective. Raise the standard. Build what matters.

In This Role

You will contribute to the development of AI training datasets by building and maintaining Python-based data processing pipelines. You will work with large-scale structured and unstructured datasets, transforming raw documents and text into high-quality, validated data for AI model training. This role requires hands‑on experience creating datasets from the ground up, developing scalable data workflows, and managing data processing in Azure environments. You will collaborate with data scientists and engineering partners to improve data quality, processing efficiency, and dataset reliability while ensuring data integrity, traceability, and security.

Responsibilities

• Design, develop, maintain, and optimize Python-based 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.

Qualifications

• 5+ years of professional experience in data engineering, data pipeline development, or data science with substantial hands‑on programming responsibilities.
• Strong proficiency in Python, including developing reusable modules, debugging, testing, logging, and error handling.
• Demonstrated experience building and developing datasets from scratch, including data ingestion, cleaning, transformation, validation, and preparation.
• Hands‑on experience processing large‑scale structured and unstructured datasets using memory‑efficient, parallel, or distributed processing techniques.
• Practical experience with Azure Blob Storage or Azure Data Lake Storage, including bulk data transfers, storage organization, and access troubleshooting.
• Experience with Python data‑processing libraries and formats such as pandas, NumPy, JSON/JSONL, CSV, and Parquet.
• Working knowledge of SQL, Git, Linux environments, and command‑line tools.
• Strong troubleshooting, analytical, and problem‑solving skills with a focus on data quality and integrity.
• Ability to communicate technical challenges and collaborate effectively with cross‑functional engineering and data science teams.

Preferred Qualifications

• Experience developing OCR pipelines, processing scanned documents, multilingual text, or document‑layout data.
• Experience with Azure Databricks, Azure Machine Learning, Azure Data Factory, or other workflow orchestration platforms.
• Familiarity with Hugging Face Datasets, AI/ML tokenization, near‑duplicate detection, and training/evaluation data separation.
• Experience with large‑scale dataset curation and preparation for AI or machine learning model training.
• Knowledge of distributed data processing frameworks and technologies such as PySpark.
• Experience with dataset lineage, reproducibility, containerized environments, and CI/CD practices.
• Experience optimizing data pipelines for performance, reliability, scalability, and cost efficiency.

Salary Range

At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $150,000– $160,000 USD/Annually. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range.

Equal Opportunity Employer

Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.

If you need assistance or a reasonable accommodation to complete the application process, please reach out to: [e-mail]

Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes:

• Medical, dental, and vision coverage
• Flexible Spending Account
• 401k program
• Competitive PTO offerings
• Opportunities for professional growth and development

Location: 5 days onsite at Seattle, WA

Blueprint believes that healthy, supported employees do their best work. Eligible employees have access to a comprehensive benefits package that may include:

• Medical, dental, and vision coverage
• Flexible Spending Account (FSA)
• Competitive paid time off
• Parental leave
• Professional growth and development opportunities

Benefits and eligibility may vary based on role, employment status, and location.

Blueprint Technologies, LLC is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital or familial status, military or veteran status, citizenship status, or any other characteristic protected by applicable law.

If you need a reasonable accommodation to participate in any part of the application or interview process, please contact [e-mail].