AI Data Engineer

ManpowerGroup; Redmond; Presencial; AUD 152.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Plan

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Allow

401(k) with match

Weekly Pay

Descripción de la vacante

ManpowerGroup | AI Data Engineer role in Redmond, WA, onsite. You will build and optimize Python pipelines for data ingestion, OCR processing, and dataset preparation to support confidential model development. The role focuses on scalable data engineering, automated quality checks, and Azure storage synchronization.

The ideal candidate has 5+ years in data-related roles, strong Python expertise, and hands-on experience with large datasets and Azure data services.

Formación

• Five+ years of data-focused work with hands-on dataset building.
• Strong Python skills for module development, debugging and testing.
• Experience processing large structured and unstructured data efficiently.

Responsabilidades

• Develop, maintain, and optimize Python pipelines for data ingestion and processing.
• Run large-scale batch jobs, monitor failures, and ensure reliable retries.
• Create automated quality checks for data integrity and completeness.
• Prepare training-ready datasets through filtering, tokenization, and formatting.
• Manage bulk transfers and synchronization with Azure storage.

Conocimientos

Data engineering

Python

Large datasets processing

Herramientas

Azure Blob Storage

Azure Data Lake Storage

SQL

Git

Linux

Pandas

NumPy

JSON/JSONL

CSV

Parquet

Descripción del empleo

Our client, Applied Sciences is seeking a AI Data Engineer to join their team. As a AI Data Engineer, you will be part of the Applied Sciences team supporting Applied Sciences model training data needs. The ideal candidate will have hands-on dataset-building experience from the ground up, strong Python pipeline development skills, and practical Azure data management experience—aligning successfully to deliver high-quality, training-ready data for confidential AI model development.

Job Title: AI Data Engineer

Location: Redmond, WA (100% onsite)

Pay Range: $75 - $79.hr on Experis W2 (Benefits/PTO/401k)

Top 3 Must-Have HARD Skills & years of experience for each:

• Demonstrated experience in data engineering, data pipeline development, or a data science role with substantial production programming responsibilities.
• 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.

What's the Job?

• 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 detect missing/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 Azure storage, verifying transfer completeness and data integrity.

What's Needed?

• At least five years of data-related work experience, with hands-on experience building datasets from the ground up (not just working with existing datasets).
• Strong proficiency in Python, including reusable module development, debugging, testing, logging, and robust error handling.
• 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 transfers, storage organization, and access troubleshooting.
• Working knowledge of SQL, Git, Linux, and command-line tools; familiarity with pandas, NumPy, JSON/JSONL, CSV, and Parquet.

What's in it for me?

• Own end-to-end AI data management and dataset curation that directly supports model training.
• Build reliable, production-grade pipelines with automated quality checks and operational monitoring.
• Work closely with applied scientists and model-training teams to translate data requirements into reproducible workflows.
• Contribute to confidential, high-impact dataset creation for Windows and devices.
• Strengthen your expertise in scalable Python data engineering and Azure-based dataset operations.

Upon completion of waiting period consultants are eligible for:

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands –Manpower, Experis, Talent Solutions, and Jefferson Wells– creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.