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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer & BI Analyst - **Company:** STIHL Inc. - **Location:** Virginia Beach, VA, United States - **Experience:** Expert - **Salary:** $101,000.0 - $123,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Information Systems, Information Engineering, Data Files, Data Infrastructure, Data Systems, Software Debugging, Machine Learning, Metadata, Power BI, Azure Data Factory, Delivery Pipeline, Git Flow, Information Technology, Terraform, Data Pipelines, Databricks - **Published:** August 21, 2026 - **Apply:** https://www.careerjet.com/job/us30b25a6d44916afcb98f3afa2fb3a1b9/eaa ## About the Role You are responsible for helping to build and maintain the infrastructure that powers critical business reporting, advanced analytics, and data-driven decision-making across the company. This role requires someone who thrives in complex data environments, solves ambiguous problems with clarity, communicates effectively with both technical and non-technical stakeholders, is curious, resourceful, and eager to learn new tools and systems., * Bachelor's degree in Computer Science, Information Systems, Statistics, Engineering, or related field preferred. * 5+ years of experience in a data engineering, BI engineering, or similar technical role. * Hands-on experience building pipelines with Databricks and/or Azure Data Factory. * Strong proficiency with Python for data manipulation and transformation. * Working knowledge of Power BI, including dataset design, relationships, and refresh behavior. * Experience working in Git-based workflows. * Demonstrated skill in debugging issues spanning ingestion, transformation, and reporting layers. * Clear written and verbal communication skills, especially when explaining technical topics to non-technical stakeholders. * Strong collaboration skills - shares knowledge, coordinates effectively, and communicates blockers early. * Proven ability to prioritize and problem-solve in ambiguous or high-pressure situations. * Proactive approach to improving reliability, performance, or maintainability of existing systems. * Experience in AI, machine learning, or emerging data technologies - especially where they intersect with analytics and reporting. * Designing and developing AI solutions using common industry cloud platforms such as Microsoft Azure, Databricks, AWS, or Fabric * Knowledge of Power BI Premium capacity and refresh management. * Exposure to metadata-driven frameworks and config-based pipeline logic. * Familiarity with Unity Catalog, Terraform, or other emerging Databricks tools. * Experience in automation, optimization, and reducing manual overhead in analytics systems. ## Description * Design, build, and maintain reliable data pipelines using Databricks, Delta Live Tables, and Azure Data Factory. * Structure and manage Power BI semantic models using Tabular Editor and deployment pipelines. * Diagnose and resolve data issues spanning multiple systems, including ADF, Databricks, and Power BI. * Apply strong debugging skills to identify root causes of data mismatches, pipeline failures, and performance issues. * Collaborate with stakeholders across business functions to clarify data needs and communicate technical concepts. * Contribute to continuous improvement of our data infrastructure, identifying and implementing scalable solutions. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)