Senior Data Engineer

Guardian Pharmacy•Atlanta, GA
•Hybrid

About The Position

The Senior Data Engineer designs and delivers data solutions that support decision-making across Guardian Pharmacy. The role partners with business and technology teams to build scalable data pipelines, data models, and analytics capabilities that advance operational excellence and growth. The ideal candidate combines strong technical expertise with business acumen, a collaborative mindset, and a passion for turning data into actionable insights. This hybrid role is based in Atlanta, Georgia. It offers the opportunity to shape Guardian Pharmacy’s data platform, modernize analytics, and deliver scalable solutions in partnership with leaders across the organization.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Business Analytics, or a related field.
  • At least 4 years of experience in data engineering, business intelligence, analytics, or data warehousing.
  • Advanced experience with Azure Data Factory (ADF), SSIS, Microsoft SQL Server, and SQL development.
  • Strong understanding of data warehousing, data modeling, and ETL/ELT best practices.
  • Experience translating business requirements into technical solutions.
  • Experience supporting full solution lifecycles from design through implementation.
  • Strong analytical and problem-solving skills.
  • Ability to build trusted relationships across teams.
  • Effective communication with technical and business audiences.
  • Ownership mindset with a bias toward action, integrity, accountability, and continuous improvement.
  • Collaborative approach, including a willingness to mentor and help others succeed.

Nice To Haves

  • Master's degree or MBA.
  • Experience with SSAS Tabular.
  • AI-related experience.

Responsibilities

  • Partner with business stakeholders to understand requirements and translate them into scalable data and analytics solutions.
  • Design, develop, and support ETL/ELT processes using Azure Data Factory (ADF), SSIS, SQL Server, and related technologies.
  • Build and optimize enterprise data models, repositories, dashboards, and reporting solutions.
  • Ensure data quality, integrity, security, and performance across data platforms.
  • Lead projects, mentor team members, and promote best practices in data engineering and development.
  • Identify opportunities to automate processes and leverage emerging technologies, including AI-enabled tools.
  • Communicate technical solutions, risks, and progress to business and technology stakeholders.
  • Manage multiple priorities while delivering sustainable, high-quality solutions.
  • Maintain technical documentation and support continuous improvement initiatives.

Benefits

  • 401(k) with company match
  • Medical, dental, and vision coverage for full-time employees working 30 or more hours per week
  • Health Savings Accounts and Flexible Spending Accounts
  • Company-paid basic life and Accidental Death & Dismemberment insurance
  • Company-paid long-term disability and optional short-term disability
  • Voluntary employee and dependent life, accident, and critical illness coverage
  • Dependent Care Flexible Spending Accounts
  • Employee Assistance Program (EAP)
  • Guardian Angels employee assistance fund
  • Paid holidays and sick days
  • Vacation benefits based on years of service
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