Analyst, Data Engineer
Amazon Web Services
Analytics
AWS
Aws Glue
Bigdata
Business Intelligence
Cloud Computing
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Operations
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Transforms
Data Visualization
Data Warehouse
Data Warehousing
Database
Databases
Digital Marketing
EMR
ETL
Financial Analyst
Informatica
Information Technology (IT)
IT Services
Reporting and Analytics
Snowflake
SQL
Visual Design
Job Description
Firehouse Subs is looking for an Analyst, Data Engineer to design and support reliable data foundations for analytics and machine learning. This onsite role in Jacksonville, FL focuses on building and maintaining data pipelines and ETL processes, partnering with Software Engineering/IT and cross-functional stakeholders to help keep data accurate, consistent, and accessible.
What you’ll get from the role
- Comprehensive global paid parental leave program
- Free telemedicine access
- Mental wellness support
Responsibilities
- Support the design, build, and maintenance of efficient data pipelines and ETL processes to enable smooth data flow.
- Help develop and maintain scalable data warehouse solutions that can support growing organizational data needs.
- Monitor and troubleshoot data pipelines, identifying and resolving issues promptly.
- Model data tables and build business intelligence reporting dashboards.
- Support the development and execution of the overall data engineering strategy aligned with organizational goals.
- Work with the team and manager to evaluate and implement new technologies and methodologies to improve data engineering capabilities.
Requirements
- 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, and Step Functions.
- 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 with cross-functional teams.
Tools you’ll work with
AWS (S3, Glue, EMR, SQS, Step Functions), SQL, Python, Snowflake, and dbt.
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