Job#: 3058844 Job Description: AI Data Engineer 3Location: REDMOND, Washington (On-site)Pay: $80.00 - $87.00Role Overview
An experienced Data Pipeline Engineer is required to build and operate Python-based workflows that transform large document and text datasets into high-quality data for AI model training. This role combines OCR processing, data cleaning and validation, scalable pipeline development, and cloud storage management. The successful candidate will collaborate with applied science teams to translate complex data requirements into reproducible processing workflows in a secure environment.
Key Responsibilities
- Develop, maintain, and optimize Python pipelines for data ingestion, OCR processing, text extraction, cleaning, normalization, and deduplication.
- Run and monitor large-scale batch processing jobs, investigate failures, and implement reliable retry and recovery mechanisms.
- Build automated quality checks to identify missing or corrupted files, incomplete OCR outputs, duplicate content, formatting issues, and metadata inconsistencies.
- Prepare training-ready datasets through filtering, text segmentation, tokenization, and conversion into agreed data formats.
- Manage bulk uploads, downloads, and synchronization between local processing environments and cloud storage; verify transfer completeness and data integrity.
- Organize raw data, intermediate outputs, and released datasets with consistent naming, metadata, versioning, and source traceability.
- Optimize processing throughput, memory usage, storage consumption, and cloud costs using appropriate batch, parallel, or distributed processing approaches.
- Track dataset statistics, processing coverage, quality metrics, and exceptions; produce clear operational reports.
- Collaborate with applied scientists and model-training teams to translate data requirements into reproducible processing workflows.
- Maintain tested, documented, version-controlled code and follow established data access, security, and governance requirements.
Required Qualifications
Education: A background in data science, mathematics, computer science, or a related technical field.
Experience: Minimum of five years of data-related work experience. Demonstrated experience in data engineering, data pipeline development, or a data science role with substantial production programming responsibilities is required. Hands-on data experience is mandatory; a software development background alone is insufficient.
Technical Skills: Strong proficiency in Python, including writing reusable modules, debugging, testing, logging, and handling processing errors. Hands-on experience processing large structured and unstructured datasets using memory-efficient, parallel, or distributed techniques. Practical experience with Azure Blob Storage or Azure Data Lake Storage, including bulk data transfers, storage organization, and access troubleshooting. Familiarity 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.
Preferred Qualifications
- Experience with OCR pipelines, scanned documents, multilingual text, or document-layout processing.
- Experience with Azure Databricks, Azure Machine Learning, Azure Data Factory, or workflow orchestration tools.
- Familiarity with Hugging Face Datasets, tokenization, near-duplicate detection, and training/evaluation data separation.
- Experience with dataset lineage, reproducibility, containerized environments, and CI/CD.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
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