Hybrid Senior Data Engineer

Posted last month

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About the role

  • 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

Requirements

  • Bachelor’s or Master’s in Computer Science, Data Engineering, or related field
  • 4+ years in hands-on data engineering or backend data roles
  • Deep SQL knowledge and PostgreSQL performance tuning
  • Strong Python skills for data manipulation and scripting
  • Experience with modern data stack: Airflow, dbt, Fivetran, Informatica, etc.
  • Cloud experience (Azure) and CI/CD pipelines for data
  • Strong grasp of ETL/ELT pipelines, orchestration, and data modeling
  • Experience with MSP tool data (e.g., ConnectWise, Kaseya, Datto) is a big plus
  • Understanding of data governance and regulatory compliance frameworks (SOC 2, GDPR, CCPA)
  • Willing to attend occasional once-a-month on-site department or leadership meetings
  • Willingness to provide own WFH equipment and install Automate Agent for security (application requirements)
  • Excellent written and verbal English communication (nice to have)

Benefits

  • Competitive salary
  • Paid US holidays
  • Growth potential
  • $100 for Health Insurance monthly reimbursement support
  • $20 for Life Insurance monthly reimbursement support
  • $20 for Dental monthly reimbursement
  • $4 for Vision monthly reimbursement
  • Work with top-tier tech
  • Remote work (Philippines)

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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