AI Data Engineer 3 [211279]

About the role

This is a remote role based in Redmond, WA. Pay Range: $70/hr – $77/hr

What You’ll Do

• Collaborate with engineering, operations, program management, and leadership to define data requirements and develop reporting and analytics solutions that inform strategic decisions.
• Analyze extensive and intricate datasets to uncover trends, identify anomalies, pinpoint gaps, assess risks, and discover opportunities for operational enhancement.
• Conduct thorough data quality assessments, validation, and verification to ensure accuracy, completeness, consistency, and integrity across diverse data sources and systems.
• Design, implement, automate, and maintain scalable data collection, transformation, and validation processes, significantly reducing manual effort and boosting reliability.
• Develop and maintain comprehensive dashboards, scorecards, KPI reporting, and self-service analytics solutions that provide clear visibility into operational performance, system health, program status, and business outcomes.
• Establish robust data validation frameworks, monitoring processes, and quality controls to proactively detect and resolve data issues.
• Partner with technical teams to refine data models, improve metadata management, optimize reporting structures, and strengthen overall data governance practices.
• Translate complex technical findings into clear, actionable insights and recommendations, effectively communicating with both technical and executive audiences.
• Drive continuous improvement initiatives through automation, standardization, and the implementation of scalable reporting and analytics solutions.
• Support root cause analysis and investigative efforts by utilizing data to identify the underlying causes of performance issues and operational risks.
• Document processes, methodologies, reporting requirements, and data quality standards to ensure consistency and scalability.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
• Experience designing and implementing data quality validation, verification, and monitoring processes.
• Strong troubleshooting, problem-solving, analytical thinking, and investigative skills.
• Experience in business intelligence, reporting, data quality management, or related analytical disciplines.
• Proficiency in developing dashboards and visualizations using business intelligence tools such as Power BI, Tableau, or similar platforms.
• Experience automating manual processes using scripting, workflow automation, or data integration technologies.
• Solid written and verbal communication skills with the ability to convey complex findings to diverse audiences.
• Demonstrated success in delivering scalable solutions that enhance efficiency, data accuracy, and operational visibility.

About Aquent Talent

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands. Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium.

Client Description

Join a global technology leader driving innovation and empowering people and organizations worldwide to achieve more. Here, you’ll collaborate with passionate, diverse teams to create impactful solutions that shape the future. The culture prioritizes growth, inclusion, and purpose—where your ideas are valued, and your work drives real change. Wherever your passion lies and wherever your career is headed—you’ll play a role in projects that touch billions of lives. With flexible work options and a supportive environment, you’ll have the tools to thrive both personally and professionally. Be part of something that truly matters.

Why work with AQUENT?

Check out our awesome benefits: https://aquent.com/talent/talent-benefits

Aquent is an equal opportunity employer.

We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.