Data Engineer & BI Analyst

ANDREAS STIHL AG & Co. KG is hiring a Data Engineer & BI Analyst to help deliver dependable data infrastructure for business reporting, advanced analytics, and data-driven decision-making. This onsite role in Virginia Beach, VA focuses on designing data pipelines, supporting Power BI semantic models, and troubleshooting issues across ingestion, transformation, and reporting layers.

The position sits at the intersection of engineering and analytics, with close collaboration across business functions to clarify data requirements and explain technical concepts in practical terms. You will also drive continuous improvements aimed at reliability, performance, and maintainability of the company’s data systems.

What you’ll do

• 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 across ADF, Databricks, and Power BI, including ingestion, transformation, and reporting.
• Use 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.
• Support continuous improvement of data infrastructure by identifying and implementing scalable solutions.

What you bring

• Bachelor’s degree in Computer Science, Information Systems, Statistics, Engineering, or a related field (preferred).
• 5+ years of experience in data engineering, BI engineering, or a 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 ability to debug 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, including knowledge sharing, coordination, and early communication of blockers.
• 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.
• Experience 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 with automation, optimization, and reducing manual overhead in analytics systems.

Technologies you’ll work with

• Databricks
• Delta Live Tables
• Azure Data Factory
• Power BI
• Tabular Editor
• Python
• Git
• Microsoft Azure
• AWS
• Fabric
• Power BI Premium
• Unity Catalog
• Terraform

Compensation & benefits

• Salary range: $101,000 - $123,000 per year, with bonus opportunities and potential for annual merit increases.
• Excellent health benefits including Medical, Dental & Vision Insurance.
• Onsite Health & Wellness Center for employees and eligible family members.
• Company-paid Life Insurance and Short & Long-Term Disability.
• A fully vested Pension Plan after 5 years.
• A 401(k) with generous employer match.
• Paid time off plus 11 Paid Holidays.