Data Engineer

Beacon Technologies is seeking a Data Engineer for our client partner. This role is based in Madison, Wisconsin, onsite 4 day per week and remote 1 day per week. The highly skilled Data Engineer will join our client’s growing data and analytics team. This individual will play a key role in designing, building, and optimizing modern data solutions that support enterprise analytics, reporting, and business intelligence initiatives. The ideal candidate will have strong hands-on experience with AWS, Databricks, and Python, along with experience developing and managing semantic data models that enable scalable self-service analytics and reporting., * Design, develop, and maintain scalable data pipelines and data integration solutions.

• Build and optimize data workflows using AWS and Databricks technologies.
• Develop robust ETL/ELT processes to support data ingestion, transformation, and delivery.
• Write clean, efficient, and maintainable Python code for data engineering and automation initiatives.
• Design, implement, and maintain semantic layers that support analytics and reporting needs.
• Partner with business stakeholders, analysts, and technical teams to understand data requirements and deliver high-quality solutions.
• Monitor, troubleshoot, and improve data quality, reliability, and performance.
• Support data governance, security, and best practices across the data ecosystem.
• Collaborate with cross-functional teams to drive continuous improvements in data architecture and processes.

• 5+ years of experience in Data Engineering, Data Integration, or a related field.
• Strong hands-on experience with AWS cloud services.
• Extensive experience working with Databricks in production environments.
• Advanced proficiency in Python development.
• Experience designing and supporting semantic layers for business intelligence and analytics solutions.
• Strong understanding of data modeling, database concepts, and data warehousing principles.
• Experience building and optimizing large-scale data pipelines.
• Excellent problem-solving and communication skills.

Preferred Qualifications:

• Experience with modern BI and reporting platforms.
• Experience with data lakehouse architectures.
• Familiarity with CI/CD and data engineering best practices.
• Experience working in Agile environments.
• Knowledge of data governance and data quality frameworks.

Work Environment:

• Hybrid work schedule with 4 days onsite in Madison, WI and 1 remote day per week.
• Collaborative team environment focused on innovation, scalability, and data-driven decision-making.