AI Data Engineer

Payrate: $85.00 - $90.00/hr. Summary: The primary function of this role is to transform complex data into trusted, actionable insights that improve operational performance and business decision-making. The individual will be responsible for analyzing critical environment and operational datasets, validating data quality and accuracy, automating manual processes, implementing scalable data solutions, and developing dashboards and reporting tools that provide visibility into key technical and business outcomes. This role bridges the gap between data, operations, and business stakeholders by ensuring data is reliable, meaningful, and accessible. The ideal candidate combines strong analytical capabilities with a passion for data quality, process automation, and business intelligence. Responsibilities • Partner with engineering, operations, program management, and leadership teams to understand objectives, define data requirements, and develop reporting and analytics solutions that drive informed decision-making. • Analyze large and complex datasets to identify trends, anomalies, gaps, risks, and opportunities for operational improvement. • Perform data quality assessments, validation, and verification activities to ensure data accuracy, completeness, consistency, and integrity across multiple sources and systems. • Design, implement, automate, and maintain scalable data collection, transformation, and validation processes that reduce manual effort and improve reliability. • Develop and maintain dashboards, scorecards, KPI reporting, and self-service analytics solutions that provide visibility into operational performance, telemetry health, program status, and business outcomes. • Create data validation frameworks, monitoring processes, and quality controls to proactively detect and resolve data issues. • Collaborate with technical teams to improve data models, metadata management, reporting structures, and overall data governance practices. • Translate complex technical findings into clear, actionable insights and recommendations tailored for both technical and executive audiences. • Drive continuous improvement through automation, standardization, and implementation of scalable reporting and analytics solutions. • Support root cause analysis and investigative efforts by leveraging data to identify underlying drivers 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. • 5-7 years applicable experience required. • 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. • Experience 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 communicate complex findings to diverse audiences. • Demonstrated success delivering scalable solutions that improve efficiency, data accuracy, and operational visibility. Skills • Experience with telemetry, operational, engineering, IoT, industrial controls, or critical infrastructure data. • Experience implementing automated data validation and exception management processes. • Experience developing executive-level dashboards and KPI scorecards. Pay Transparency: The typical base pay for this role across the U.S. is: $85.00 - $90.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,  life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 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