Data Engineer

Role Overview

• Create and manage the flow, ingestion and availability of data for Primrose Schools’ brand growth
• Balance the integration and security of data frameworks into our data warehouse
• Design, build, and maintain scalable data ingestion pipelines to integrate internal and external data sources into Primrose’s data ecosystem
• Design and guide the evolution of data environments as new data sources, tools, and analytics use cases are introduced
• Define and maintain Azure Databricks platform best practices and standards, including Medallion architecture patterns, RBAC‑based access controls, and data governance, to support reliable, governed, and scalable analytics use cases
• Build, optimize, and operate cloud‑based data platforms, primarily Azure Databricks, and integrate with enterprise database systems such as MS SQL, PostgreSQL, and MySQL
• Develop, optimize, and maintain ETL/ELT pipelines using Python (PySpark) and SQL to support analytics, reporting, and operational use cases
• Support analytics and operations teams by preparing reliable, well‑structured datasets for visualization tools, reporting, and operational platforms
• Implement and enforce data security, access controls, and governance standards, and enable team members to follow secure data practices
• Partner with Technology Operations and Security teams to ensure data platforms align with enterprise security, risk, and compliance requirements
• Leverage Azure DevOps to manage source control, work tracking, and deployment pipelines for data engineering assets
• Design and support CI/CD processes for data pipelines and supporting infrastructure to ensure reliable, repeatable deployments across environments
• Create and maintain automations that support operational workflows, monitoring, and data quality validation
• Monitor data platforms and pipelines to proactively identify issues, reduce downtime, and ensure data reliability and availability
• Proactively identify data quality, performance, or reliability risks, and communicate recommendations and solutions to technical and business stakeholders
• Manage data engineering initiatives from discovery through implementation, maintaining clear communication on scope, timelines, and dependencies
• Continuously seek opportunities to modernize tools, platforms, and processes, including the evolving use of Azure Databricks and Microsoft Fabric where appropriate

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Engineering, or a related field
• 2–4 years of hands‑on experience in data engineering or related technology roles, working across data platforms, cloud infrastructure, and software development
• Demonstrated experience using Azure Databricks, Python (PySpark), and SQL to build, optimize, and maintain data pipelines
• Experience working with cloud‑hosted data platforms and database systems in Azure or similar cloud environments
• Strong proficiency in data modeling, database development, and data processing using Python and SQL
• Experience with Azure DevOps, including source control, work tracking, and CI/CD pipelines
• Understanding of CI/CD concepts as applied to data engineering (testing, deployment, environment management)
• Familiarity with modern analytics architectures (e.g., Microsoft Fabric) and distributed data environments, a plus
• Strong problem‑solving skills with the ability to work independently and make sound technical decisions
• Experience delivering projects end-to-end, including stakeholder communication; exposure to third-party/vendor coordination is a plus

Tech Stack

• Azure
• Cloud
• ETL
• MySQL
• Postgres
• PySpark
• Python
• SQL

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Commission or bonuses based on personal and company performance
• 50% tuition reimbursement for up to three children and/or one grandchild at any Primrose School
• Flexible work from home options available