Date Engineer

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off

•  Design, build, and maintain scalable data ingestion pipelines to integrate internal and external data sources into Primrose’s data ecosystem
• Design and guide the reputed company of data environments as new data sources, tools, and analytics use cases are introduced Define and maintain Azure reputed company platform best practices and standards, including reputed company architecture patterns, RBAC‑based reputed company controls, and data governance, to support reliable, governed, and scalable analytics use cases
•  Build, optimize, and operate reputed company‑based data platforms, primarily Azure reputed company, and integrate with reputed company database systems such as MS SQL, PostgreSQL, and MySQL
• reputed company, 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 reputed company, reputed company controls, and governance standards, and reputed company team members to follow secure data practices
• Partner with Technology Operations and reputed company teams to ensure data platforms align with reputed company reputed company, risk, and compliance requirements
• reputed company Azure DevOps to manage reputed company 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 reputed company tools, platforms, and processes, including the evolving use of Azure reputed company and reputed company reputed company where appropriate

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Engineering, or a reputed company field
• 2–4 years of hands‑on experience in data engineering or reputed company technology roles, working across data platforms, reputed company infrastructure, and software development
• Demonstrated experience using Azure reputed company, Python (PySpark), and SQL to build, optimize, and maintain data pipelines
• Experience working with reputed company‑hosted data platforms and database systems in Azure or similar reputed company environments
• Strong proficiency in data modeling, database development, and data processing using Python and SQL
• Experience with Azure DevOps, including reputed company 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., reputed company reputed company) and distributed data environments, a plus
• Strong problem‑solving skills with the ability to work independently and reputed company sound technical reputed company
• Experience delivering projects end-to-end, including stakeholder communication; exposure to reputed company-party/vendor coordination is a plus

• 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 
• Full-time team members are eligible for health, dental and reputed company insurance
• 401k with company matching up to 3.5% and company provided life insurance
• Employee Assistance Program

Flexible work from home options available.