Remote Research Data Engineer for AI Data Pipelines

TEKsystems; Kirkland (WA); Remote; USD 96,000 - 124,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) Retirement Plan

Life Insurance

Job summary

TEKsystems is seeking a Research Data Engineer to support AI research data workflows and the development of agentic AI systems. The role sits at the intersection of data engineering, analytics, and vendor operations, focusing on building datasets, improving data quality, and automating pipelines for researchers.

You will collaborate with researchers and engineers, tackle ambiguous problems, and drive initiatives from investigation through execution.

Qualifications

• Strong Python and SQL skills.
• Experience with large-scale data analysis and engineering.
• Strong debugging and problem-solving skills.
• Experience building automation, tooling, or data pipelines.
• Excellent communication and stakeholder management skills.
• Ability to work independently in fast-moving, ambiguous environments.

Responsibilities

• Analyze large-scale datasets to identify quality issues, coverage gaps, and opportunities for improvement.
• Build scalable pipelines, automation, dashboards, and tooling to support AI data generation and evaluation.
• Establish data quality metrics, reporting frameworks, and operational processes.
• Collaborate with external vendors to improve data collection workflows and output quality.
• Support research environments, evaluation systems, and experimentation workflows.
• Debug data, tooling, infrastructure, and environment-related issues.
• Investigate long-tail domains, edge cases, and system failure modes.
• Partner closely with researchers, engineers, and cross-functional stakeholders to accelerate AI development.

Skills

Python

SQL

Data analysis

Automation

Data pipelines

Communication

Independence

Tools

Linux

Cloud infrastructure

VMs

Containers

Job description

TEKsystems is seeking a Research Data Engineer to support AI research data workflows and the development of agentic AI systems. The role sits at the intersection of data engineering, analytics, and vendor operations, focusing on building datasets, improving data quality, and automating pipelines for researchers.

You will collaborate with researchers and engineers, tackle ambiguous problems, and drive initiatives from investigation through execution.