Analyst, Data Engineer

Firehouse Subs

Jacksonville (FL)

On-site

USD 80,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Comprehensive parental leave program
Free telemedicine
Mental wellness support

Job summary

Firehouse Subs is seeking a data engineer to design, build, and maintain analytics-ready data pipelines and ETL systems focused on reliability, governance, and reporting. You will collaborate with cross-functional teams to support data-driven decisions.

Responsibilities include developing scalable data warehouse solutions, monitoring pipelines, and enabling BI reporting with Snowflake, dbt, SQL, and Python on AWS. This onsite role is based in Jacksonville, FL.

Qualifications

  • 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 services (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 POS and Back-of-House systems is helpful.
  • Strong problem-solving and analytical skills.
  • Clear communicator able to work effectively with cross-functional teams.

Responsibilities

  • 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.

Skills

SQL
Python
AWS
Snowflake
dbt
ETL
Data pipelines
BI tools
Version control
CI/CD
Infrastructure as code
Cross-functional teams
Analytical thinking

Education

Bachelor's degree in Computer Science or Engineering

Tools

Snowflake
dbt
AWS
S3
Glue/EMR
SQS
Step Functions

Job description

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

Responsibilities
  • 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.
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, 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.
Technologies
  • AWS (S3, Glue, EMR, SQS, Step Functions)
  • SQL
  • Python
  • Snowflake
  • dbt
Location and Work Setup
  • Jacksonville, FL
  • Onsite
Benefits
  • Comprehensive global paid parental leave program
  • Free telemedicine
  • Mental wellness support
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