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Senior Application Developer (SQL, Power BI, Data Engineering & AI)

Bernhardt Furniture Company
United States, North Carolina, Lenoir
1839 Morganton Boulevard Southwest (Show on map)
Apr 18, 2026
Summary of Position
Bernhardt Furniture Company is seeking a Senior Application Developer to design, develop, and support modern business applications and data-driven analytics solutions across the enterprise. This role requires strong SQL development skills, advanced Power BI skills, and hands-on experience in data engineering and data warehousing. The ideal candidate can deliver high-quality end-to-end solution applications, integrations, pipelines, semantic models, and dashboards-while contributing to the secure, responsible adoption of AI-enabled capabilities that improve productivity and decision-making. Currently, this position does not have direct reports, but will evolve to lead a small development team. Key Responsibilities
Power BI & Enterprise Reporting
  • Design, build, and optimize Power BI datasets/semantic models and reports using best practices.
  • Develop DAX measures and Power Query transformations; optimize performance and user experience.
  • Partner with business users to define KPIs and ensure consistent calculation logic across reports.
  • Support publishing, access controls, and governance for enterprise reporting.
Application Development (Modern Technologies)
  • Design, develop, test, deploy, and maintain business applications and services using modern engineering practices.
  • Build and enhance web applications, APIs, and integration services.
  • Write clean, maintainable, efficient code; participate in code reviews and contribute to development standards.
  • Collaborate with stakeholders to translate business requirements into technical specifications and solution designs.
SQL Development & Data Engineering
  • Develop and optimize complex T-SQL (stored procedures, views, functions) and perform performance tuning and indexing.
  • Engineer reliable data pipelines for ingestion, transformation, validation, and orchestration; implement logging and monitoring.
  • Troubleshoot data integration issues and ensure data accuracy, integrity, and auditability.
  • Create and maintain technical documentation for databases, pipelines, and interfaces.
Data Warehouse / Analytics Engineering
  • Design and maintain analytics-ready datasets, dimensional models, and governed semantic layers.
  • Establish and enforce standards for metric definitions, dataset reuse, refresh schedules, and data documentation.
  • Improve data quality and availability through validation routines and automated checks.
AI Technology Enablement
  • Identify and implement AI-assisted opportunities in analytics and application workflows (e.g., summarization, anomaly detection, intelligent search, guided insights).
  • Apply responsible AI practices, including validation, governance alignment, and human-in-the-loop controls as appropriate.
  • Contribute to reusable patterns for safe, secure AI integration into business processes.
Operational Excellence & Support
  • Provide production support, perform root cause analysis, and implement permanent fixes.
  • Maintain runbooks, technical documentation, and deployment/support procedures.
  • Mentor junior developers and contribute to team capability building.
Required Qualifications
  • 3-5+ years of professional experience in application development with significant data responsibilities.
  • Advanced SQL skills (complex queries, performance tuning, indexing concepts, and database object development).
  • Strong Power BI experience (data modeling, DAX, Power Query, performance optimization).
  • Proficiency in one or more modern programming languages such as C#, Java, Python, or JavaScript.
  • Experience with modern web technologies: HTML, CSS, JavaScript, and TypeScript.
  • Experience with modern front-end frameworks/libraries such as React (or equivalent).
  • Strong problem-solving, troubleshooting, and documentation skills.
  • Strong written and verbal communication skills and ability to work effectively with business stakeholders.
Preferred Qualifications
  • Experience with data warehouse/analytics engineering (dimensional modeling, curated datasets, governed semantic layers).
  • Experience building and integrating REST APIs and system-to-system integrations.
  • Experience with Microsoft Power Platform (Power Apps / Power Automate) and related development patterns.
  • Experience developing and integrating SPFx web parts and/or Power Apps Component Framework (PCF) components.
  • Experience with DevOps practices and automation tooling (e.g., Azure DevOps) and scripting (e.g., PowerShell).
  • Experience with version control (e.g., Git) and Agile delivery practices.
  • Familiarity with AI concepts and enterprise AI tooling, including implementing secure, governed AI-enabled solutions.
  • SSRS experience preferred, including maintaining or modernizing reporting solutions.
  • SSIS experience preferred, including maintaining or modernizing ETL solutions.
  • Development team leadership experience preferred, including mentoring developers, leading code reviews, estimating work, and coordinating delivery across stakeholders.
  • Manufacturing/distribution business process experience (inventory, purchasing, logistics, order lifecycle) is a plus.
Core Competencies
  • Engineering excellence: quality, reliability, performance, maintainability
  • Strong ownership: requirements through delivery and support
  • Analytical thinking and structured problem-solving
  • Collaboration and stakeholder management
  • Continuous improvement mindset and curiosity in emerging technologies (AI, analytics, modern development)

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