AI Data Engineer

Experis (Austria); Redmond; On-site; AUD 151,000 - 159,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Plan

Job summary

Applied Sciences in Redmond, WA is seeking an AI Data Engineer to join our team. You will build and optimize Python data pipelines for ingestion, OCR processing, and data normalization to support confidential AI model training.

The role requires hands-on dataset-building experience from the ground up, strong Azure data management skills, and the ability to process large structured and unstructured data using memory-efficient techniques.

Qualifications

• Hands-on experience building datasets from the ground up.
• Five+ years of data-related experience.
• Python pipelines development, OCR processing, text extraction and data cleaning.
• Azure data management experience.
• Experience with large structured and unstructured datasets.

Responsibilities

• Develop, maintain, and optimise Python data pipelines for ingestion and processing.
• Run and monitor large-scale batch jobs; implement retries.
• Build automated quality checks for data integrity.
• Prepare training-ready datasets via filtering and tokenisation.
• Manage Azure storage transfers and data synchronization.

Skills

Data engineering

Python proficiency

Dataset building from ground up

Distributed processing techniques

Tools

Azure Blob Storage

Azure Data Lake Storage

SQL

Git

Linux

Pandas

NumPy

JSON/JSONL

CSV

Parquet

Command-line tools

Job description

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.

The sponsor would really like to stress that candidates must come in with hands‑on experience building datasets from the ground up. They should have previously created datasets, not just worked with existing ones.

What's the Job?

• Develop, maintain, and optimise Python pipelines for data ingestion, OCR processing, text extraction, cleaning, normalisation, 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, tokenisation, and conversion into agreed data formats.
• Manage bulk uploads/downloads and synchronisation 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 organisation, 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

We are recognised 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.