Job description

Are you passionate about building robust, scalable, and intelligent data pipelines? Do you want to work on modern infrastructure, solve complex data challenges, and help shape the future of analytics for Managed Service Providers? MSPbots is looking for a Senior Data Engineer to help us scale our data infrastructure, streamline integrations, and empower insights across hundreds of clients.

Work Setup: Remote (Philippines)

Schedule: Monday–Friday from 9 PM to 6 AM PHT (8 AM–5 PM CDT) | Fixed Rest Days: Sat–Sun

What You’ll Do

Data Pipeline & Integration Engineering

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)

Data Infrastructure & Platform Ownership

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

Data Modeling & Consistency

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

Data Quality, Governance & Compliance

Implement Data Quality Indicators (DQIs) and monitor pipeline reliability
Support access control, data auditing, and compliance with SOC 2, GDPR, and CCPA
Ensure consistency and completeness across integrated systems

Documentation & Metadata Stewardship

Maintain clear documentation of schemas, lineage, and transformation logic
Help define metadata standards and contribute to the central data catalog

Cross-Team Collaboration

Work closely with Data Analysts, Developers, and Customer Teams to translate business needs
Enable the delivery of high-quality data for dashboards, reports, and automation bots
Act as a subject matter expert on our data models and platform integrations

Enable a Data-Driven Culture

Promote clean code, modular design, and performance best practices
Mentor junior team members and contribute to team knowledge sharing

What We’re Looking For

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
Willing to attend occasional once-a-month on-site department or leadership meetings. (Often none, but will provide an advance notice if there will be meetings.)