Date Engineer at Primrose School of Lakeshore

, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Jul, 26

Salary

0.0

Posted On

05 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Databricks, Python, PySpark, SQL, Data engineering, ETL/ELT pipelines, Data modeling, Azure DevOps, CI/CD, Data governance, Cloud infrastructure, Database management, Microsoft Fabric, Data security, Medallion architecture

Industry

Education Administration Programs

Description

Benefits: 401(k) 401(k) matching Dental insurance Health insurance Paid time off WHAT A DIFFERENCE At Primrose, our mission - to forge a path that leads to a brighter future for all children - is why we do what we do each day. Primrose provides a life-changing early learning experience for children and their families. We believe who children become is as important as what they know. We believe who YOU are is as important as what you know. We make every effort to ensure everyone feels they belong in our Primrose community. Our commitment to Belongingness means we seek similarities and respect differences in our unique backgrounds, life experiences and perspectives. WHAT YOU WILL DO As the Technology Data Engineer, you will create and manage the flow, ingestion and availability of data for Primrose Schools’ brand growth. You will balance the integration and security of data frameworks into our data warehouse and are motivated by consistency and database organization. This is a full-time role. 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 WHO WE ARE LOOKING FOR 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 WHAT YOU WILL GET 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 vision insurance 401k with company matching up to 3.5% and company provided life insurance Employee Assistance Program Flexible work from home options available.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Data Engineer will design, build, and maintain scalable data ingestion pipelines and manage the flow of data within the company's ecosystem. They will also ensure data security, governance, and platform reliability while collaborating with operations and security teams.