Data Engineer (I)

Aquent; Portland (OR); On-site; USD 110,000 - 150,000; Full time

Job summary

Aquent is partnering with a leading technology company that shapes how people interact with information. We seek a Data Engineer to build robust data pipelines, clean datasets, and create tools enabling researchers and engineers to accelerate AI model development.

You will collaborate with researchers, coordinate with a remote team to manage queues and quality, and contribute to data processing tasks essential for cutting-edge projects.

Qualifications

• Proven programming proficiency in Python for data collection, annotation, and processing.
• Experience building agentic data processing pipelines and data quality verification.
• Experience in data visualization and data analysis.
• Excellent communication with researchers and engineers to discuss data annotation with non-technical raters.

Responsibilities

• Design and implement data processing pipelines for comprehensive data analysis, visualization, and debugging.
• Ensure high data quality by cleaning, structuring, and cataloging raw datasets.
• Collaborate with researchers to deliver processed data outputs meeting project requirements.
• Coordinate with a remote team to manage annotation queues, analyze quality, and provide feedback to raters.

Skills

Python

Data pipelines

Data quality

Data analysis

Communication

Tools

Jupyter/Web UI

Data visualization

Job description

Aquent is partnering with a leading technology company that is at the forefront of innovation, shaping the future of how people interact with information and the world around them. This organization is dedicated to pushing boundaries and creating impactful solutions that touch millions globally. We are seeking a talented individual to join their dynamic team and play a pivotal role in ensuring the integrity and usability of critical data that underpins groundbreaking research and advanced model development.

About the Role

Step into a vital role where your expertise will directly influence the quality and accessibility of data for cutting-edge research and development. As a Data Engineer, you will be instrumental in building robust data pipelines, refining raw datasets, and creating essential tools that empower researchers and engineers to innovate faster and more effectively. Your contributions will directly enable the development and evaluation of next-generation AI models, making a tangible impact on future technological advancements.

Key Responsibilities

• Design and implement agentic data processing pipelines for comprehensive data analysis, visualization, and debugging.
• Ensure high data quality by meticulously cleaning, structuring, and cataloging raw spatial and research datasets.
• Collaborate closely with researchers to deliver processed data outputs that meet their specific project requirements.
• Coordinate with a remote team to manage task expectations, oversee annotation job queues, analyze annotation quality, and provide constructive feedback to rating teams.

Required Skills & Experience

• Proven programming proficiency in Python, with a strong background in developing tools, web UIs, and scripts for data collection, annotation, and processing.
• Demonstrated data science and engineering capabilities, including expertise in data quality verification, building agentic data processing pipelines, data visualization, and comprehensive data analysis.
• Experience in designing and conducting human studies or surveys to gather valuable insights.
• Exceptional communication skills, enabling effective technical discussions with researchers and software engineers, as well as clear communication regarding data annotation with non-technical raters.

Nice-to-Have Skills

• Familiarity with VLM (Vision-Language Model) evaluation methodologies.
• Experience with the evaluation of multi-modal Generative AI models, such as image generation and video generation.