Senior Data & Business Intelligence Engineer

📋 Description

• Design, build, operate, and continuously improve enterprise Data Lake and Data Lakehouse solutions.
• Develop scalable ETL and ELT pipelines capable of efficiently processing terabytes of data across
• Build and support real-time analytics platforms and distributed data services using technologies
• Implement Change Data Capture, event-driven processing, schema evolution, data versioning, data
• Establish data quality, reconciliation, governance, monitoring, observability, anomaly detection
• Troubleshoot production data services, perform backfills and large-scale data transformations, and

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering
• 5+ years of experience in data engineering, analytics engineering, business intelligence
• Proven experience designing and implementing enterprise Data Lakes, Data Lakehouses, or analytical
• Strong experience developing enterprise-scale ETL/ELT solutions and reliable, scalable data
• Hands-on experience with modern data technologies such as Oracle Database, Debezium, Kafka, Kafka
• Experience with CDC, event-driven architectures, real-time data processing, schema evolution, data

🎁 Benefits

• Salary range of $80,000–$110,000.
• Fully remote work within the United States or Canada.
• Approximately 1–2 business trips per year to Vermont, customer locations, or other destinations as
• Three weeks of vacation plus five personal days.
• Comprehensive medical, dental, and vision coverage beginning on the first day of employment.
• Employee stock ownership opportunities.