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AI Data Engineer 3Artech • United States
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AI Data Engineer 3

Artech
  • US
    United States
  • US
    United States
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About

Job Title: I Data Engineer 3 Location: Remote Salary Range: $80/hr to $90/hr on W2
Introduction
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.
Required Skills & 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. Should have directly manager the reliability, sustainability, and operational performance of some of the world's largest data center environments. 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. Prior work experience at client or in client's Industry. Applicants must be able to work directly for Artech on W2. Preferred Skills & Qualifications
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. Day-to-Day 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. Company Benefits & Culture
Opportunity to have a direct impact on the reliability, sustainability, and operational performance of some of the world's largest data center environments. Work with large-scale, real-world systems, including telemetry from power, cooling, water, and environmental infrastructure across a global data center portfolio. Develop highly marketable skills in data analytics, dashboard development, business intelligence, and critical infrastructure operations.
For immediate consideration please click APPLY to begin the screening process with Alex.
  • United States

Languages

  • English
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