Senior IT Data Engineer

Role Summary The Senior Data Engineer designs, implements, and evolves enterprise data and machine learning capabilities using Microsoft Fabric and related modern data platforms. This role emphasizes enabling predictive and prescriptive analytics by building scalable data foundations, partnering with business stakeholders to identify high‑value opportunities, and applying a deep understanding of machine learning, data science, and statistical concepts to real business problems. The position operates as a forward‑looking technical leader who is comfortable working with rapidly changing technologies—including Fabric, data agents, Rayfin, and large language models—and exploring new ways to create business value from data. All activities will be performed in support of the strategy, vision, and values of JE Dunn. Role Attributes Autonomy & Decision‑Making: Makes decisions on non‑routine matters, provides recommendations to supervisor, and refers all exceptions to supervisor. Career Path: Data Engineering Manager Key Role Responsibilities – Core Design and implement scalable data and analytics architectures in Microsoft Fabric that support predictive and prescriptive use cases. Partner with business stakeholders to understand operational challenges, available data, and opportunities to create measurable business value through analytics and machine learning. Apply a strong understanding of machine learning, data science, and statistical concepts to support model development, experimentation, and deployment. Support the development of predictive and prescriptive analytics solutions by preparing reliable, well‑governed datasets for training, inference, and decision support. Evaluate emerging technologies such as Fabric, data agents, Rayfin, and large language models, and recommend practical ways to leverage them in new and innovative ways. Design data models and transformation processes that improve data quality, consistency, and usability for advanced analytics. Participate in architectural reviews to ensure new systems align with the organization’s data, analytics, and AI strategy. Implement governance, lineage, metadata, and security practices that enable trusted self‑service analytics and responsible AI usage. Monitor and improve the performance, reliability, and quality of data and ML workflows, including alerting for data drift and model performance issues. Document analytics and ML data dependencies, solution designs, and technical standards to support maintainability and scale. Collaborate across departments to identify data synergies, prioritize high‑impact use cases, and communicate changes to stakeholders. Optimize data processes and platform capabilities to improve the speed, effectiveness, and cost‑efficiency of analytics and machine learning solutions. Key Role Responsibilities – Additional Core Supports the definition of enterprise patterns and standards for advanced analytics, machine learning, and AI‑enabled data products. Provides subject matter expertise for evolving or experimental initiatives involving predictive analytics, prescriptive analytics, and emerging technologies. Mentors junior team members on data science concepts, analytical thinking, and modern data platform best practices. Leads small to medium sized initiatives as a technical subject matter expert in advanced analytics and data architecture. Provides authoritative feedback on how upstream systems, business processes, and data structures can better support analytical and ML outcomes. Collaborates with key stakeholders and IT leadership to identify and prioritize data investments with clear business value. Contributes to the data and AI strategy roadmap and supports complex, high‑impact initiatives that leverage modern and rapidly evolving technologies. Knowledge, Skills & Abilities Ability to perform work accurately and completely, and in a timely manner. Communication skills, verbal and written. Time management skills. Ability to prioritize multiple projects. Ability to drive change through innovation & process improvement. Ability to communicate to executive audiences and deliver results through influence. Deep understanding of machine learning, data science, and statistical concepts, including how to apply them to business problems and value creation. Ability to work with business stakeholders to understand available data, identify opportunities, and define high‑value predictive and prescriptive analytics use cases. Comfort working with cutting‑edge and rapidly changing technologies, including Microsoft Fabric, data agents, Rayfin, and large language models. Ability to think creatively about how emerging technologies can be leveraged in new ways to improve decision‑making and business outcomes. Proficiency in SQL – Intermediate. Proficiency in Python – Intermediate. Proficiency in Spark – Intermediate. Experience implementing data architectures and governed analytical data models in modern data platforms. Knowledge of data governance and security best practices. Experience developing and consuming REST APIs for data integration (Preferred). Familiarity with Power BI and Microsoft Fabric (Preferred). Experience with Microsoft Purview or similar data catalog and governance tools (Preferred). Experience supporting or operationalizing machine learning models for predictive or prescriptive analytics (Preferred). Education Bachelor’s degree in Computer Science, Data Engineering or related field (Required). In lieu of the above requirements, equivalent relevant experience will be considered. Experience 5+ years of experience in data analytics or data engineering (Required). Working Environment Frequent activity: Sitting, Viewing Computer Screen. May require periods of overnight travel. Must be able to lift up to 10 pounds. Normal office environment. Occasional activity: Standing, Walking, Bending, Climbing, Reaching above shoulder. Benefits Information Benefits package aligned to this position is Professional Non‑Union. Equal Employment Opportunity Statement JE Dunn Construction is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/affirmative action employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. JE Dunn Construction is a background screening, drug‑free workplace. Reasonable Accommodations JE Dunn provides reasonable accommodations to qualified individuals with disabilities. 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