AI Data Engineer 3

Experis; Redmond (WA); Remote; USD 83,000 - 110,000; Full time

Benefits offered by this job

Weekly Pay

Medical Plan

Dental Plan

Vision Plan

401(k) Plus Match

Job summary

Experis is hiring an AI Data Engineer 3 for a remote role based in Redmond, WA. The position focuses on building synthetic data-generation systems and scalable cloud data pipelines, with PST hours and weekly pay.

You will design, implement, and operate data generation workflows in cloud environments, collaborating with AI teams to ensure quality, traceability, and performance across large datasets.

Qualifications

• 5+ years of software or data engineering experience or equivalent
• Proficiency in Python, Spring Boot, or .NET
• Strong backend and systems engineering capabilities
• Experience designing and operating data-generation, ETL, and distributed data-processing workflows in cloud pipelines
• Working knowledge of LLMs and AI systems
• Hands-on experience with concurrency, async execution, and event-driven architectures

Responsibilities

• Design, build, and improve synthetic data-generation systems that translate inputs into datasets
• Build and operate scalable pipelines and orchestration with concurrency and asynchronous execution
• Develop data models, storage approaches, and retrieval patterns for large volumes
• Create and evolve validation frameworks with quantitative data quality checks
• Apply cloud engineering practices to deploy, monitor, and support reliable systems

Skills

5+ years experience

Python

Spring Boot

.NET

Backend engineering

ETL

Cloud data pipelines

LLMs

Asynchronous execution

Job description

Experis is hiring an AI Data Engineer 3 for a remote role based in Redmond, WA. This position focuses on building and operating synthetic data-generation systems and scalable cloud data pipelines, including validation and evaluation for LLM and AI workflows. The role requires working PST hours and is offered on Experis W2 with benefits (NO C2C), at $70/hr (weekly pay).

What you will do

You will design and evolve systems that generate synthetic datasets from structured inputs, incorporating persona and organizational context to produce outputs that are coherent, traceable, and reproducible.

• Design, build, and improve synthetic data-generation systems that translate structured inputs and context into usable datasets.
• Build and operate scalable pipelines and orchestration, using concurrency, asynchronous execution, and resilient failure handling to keep workflows dependable.
• Develop and refine data models, storage approaches, and retrieval patterns to support large volumes and fast access.
• Create and evolve validation frameworks that define quality criteria, automate checks, and use quantitative analysis to measure and improve data quality.
• Apply cloud engineering practices to deploy, monitor, and support reliable systems, balancing scalability, operational simplicity, and cost.

What you bring

• 5+ years of software or data engineering experience (or equivalent significant experience building systems with coding in Python, Spring Boot, or .NET), including ownership through implementation and support.
• Strong backend and systems engineering skills, including maintainable services, modular components, APIs, and automated tests.
• Deep hands-on experience designing, building, and operating data generation, ETL, and distributed data-processing workflows in cloud-based pipelines.
• Working knowledge of LLMs, including capabilities and limitations, common failure modes, and how data quality, prompting, evaluation, and model behavior connect in AI systems.
• Practical experience with orchestration and execution patterns such as concurrency, async execution, streaming/event-driven architectures, and recovery from failures.

Stack

Python, Spring Boot, .NET, LLMs

Benefits

Experis provides a comprehensive benefits package for this W2 role. Eligible benefits can begin after completion of the waiting period.

• 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

Note: Consultants are eligible for the listed benefits upon completion of the waiting period.