Analyst, Data Engineer

Design, build, and maintain analytics-ready data pipelines and ETL systems in a role focused on reliability, governance, and reporting.

• Assist with the design, build, and ongoing maintenance of efficient data pipelines and ETL processes to support reliable data flow.
• Develop and maintain scalable data warehouse solutions to support evolving organizational data needs.
• Monitor data pipelines, troubleshoot issues, and help ensure problems are identified and resolved promptly.
• Model data tables and support business intelligence reporting dashboard development.
• Support implementation of the team’s data engineering strategy
  , aligned to organizational goals.
• Collaborate with the team and manager to evaluate and implement new technologies and methodologies that improve data engineering capabilities.

• 1+ years of hands‑on experience in data engineering
  , data analytics
  , or a related technical field.
• Bachelor’s degree in computer science
  , engineering
  , or a related field; or equivalent experience.
• Experience with AWS
  , including services such as S3
  , Glue/EMR
  , SQS
  , Step Functions
  , etc.
• Strong programming skills in SQL and Python
  .
• Experience querying and building in Snowflake with dbt
  .
• Familiarity with version control
  , continuous integration
  , and infrastructure as code
  .
• Familiarity with business intelligence reporting tools.
• Knowledge of Point of Sale and Back of House systems is helpful.
• Strong problem-solving and analytical skills.
• Clear communicator able to work effectively with cross-functional teams
  .

• AWS (S3, Glue, EMR, SQS, Step Functions)
• SQL
• Python
• Snowflake
• dbt

• Jacksonville, FL
• Onsite

• Comprehensive global paid parental leave program
• Free telemedicine
• Mental wellness support