Data Engineer

• Build and optimize ETL/ELT pipelines for ingesting data from PSA, RMM, and monitoring tools
• Use tools like Airflow, dbt, and Fivetran to develop scalable workflows
• Implement normalization and integration logic across MSP platforms (ConnectWise, Kaseya, Datto, N-able)
• Help scale and maintain cloud-based data infrastructure (Azure)
• Contribute to CI/CD for data workflows and align with DevOps best practices
• Improve performance through data partitioning, syncing, and storage tuning
• Create and maintain well-documented dimensional and normalized data models
• Align data schemas and transformations with product and business logic
• Power dashboards, bots, and analytics through reliable backend design
• Implement Data Quality Indicators (DQIs) and monitor pipeline reliability
• Support access control, data auditing, and compliance with SOC 2, GDPR, and CCPA
• Maintain clear documentation of schemas, lineage, and transformation logic
• Help define metadata standards and contribute to the central data catalog
• Collaborate with Data Analysts, Developers, and Customer Teams to translate business needs
• Act as a subject matter expert on data models and platform integrations
• Mentor junior team members and promote clean code, modular design, and performance best practices

Senior Data Engineer

GCP Data Architect

Data Engineer

Mid Data Engineer

Data Migration and Reporting Specialist

Senior Data Engineer