AI Data Engineer 3 [AQ-14787]

About the role

This pivotal role offers the chance to make a tangible difference, ensuring data reliability, enhancing business intelligence, and directly influencing strategic decision-making across vital systems. You will play a crucial role in improving efficiency and performance, directly impacting how this organization operates and innovates.

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.

Requirements

• 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.
• Experience developing executive-level dashboards and KPI scorecards.
• Familiarity with operations and power distribution systems.
• Ability to analyze telemetry data to spot irregularities and contribute to problem-solving.

Qualifications

• Required qualifications include a 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.
• Experience developing executive-level dashboards and KPI scorecards.
• Familiarity with operations and power distribution systems.
• Ability to analyze telemetry data to spot irregularities and contribute to problem-solving.

Skills

• Strong analytical and problem-solving skills.
• Proficiency in data visualization tools.
• Experience with data quality management and validation.
• Ability to communicate complex data insights clearly to non-technical stakeholders.
• Experience with data modeling and optimization.
• Knowledge of data governance and compliance practices.

Benefits

Aquent Talent offers a range of benefits including subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. Additionally, we provide free online training through Aquent Gymnasium. For more information on our benefits, visit our website.

Pay

The salary range for this position is $80,000 - $120,000 annually, depending on experience and qualifications.

Schedule

Full-time position available.

Contact

To apply, please visit our careers page at [insert link here]. If you have any questions, feel free to reach out to us at [insert contact information here].