In this onsite role in Jacksonville, FL, you will build reliable data workflows that support analytics, governance, and machine learning initiatives.

Design, build, and maintain data pipelines and ETL processes to enable smooth data movement.
Develop and maintain scalable data warehouse solutions aligned with expanding organizational reporting and data needs.
Monitor and troubleshoot pipelines; identify issues and help drive timely resolution.
Model data tables and create business intelligence reporting dashboards.
Support the team’s data engineering strategy and ensure work aligns with organizational goals.
Collaborate with the team and manager to evaluate and adopt new technologies and methodologies to 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 related field, or equivalent experience.
Experience with AWS, including services such as S3, Glue/EMR, SQS, and Step Functions.
Strong programming skills in SQL and Python.
Experience querying and building in Snowflake using 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 communication skills and ability to work with cross-functional teams.

Analyst, Data Engineer

Job Description