AI Data Engineer — Insights, Quality & Dashboards

Aquent

Redmond (WA)

On-site

USD 100,000 - 150,000

Full time

3 days ago

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Benefits offered by this job

Health insurance

Vision and dental plans

Retirement plan with employer match

Aquent Gymnasium training

Job summary

Aquent is seeking a data analytics/BI professional to partner with engineering and operations, defining data requirements and delivering reporting and analytics solutions that drive strategic decisions.

You will analyze extensive datasets, implement data quality controls, and automate data collection and validation processes to improve efficiency and data reliability. You will create dashboards and KPI reporting for visibility into system health and business outcomes.

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.

Responsibilities

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.