05 Analytics Data Engineer Data & Analytics · Fort Lauderdale, FL · On-site · Full-time →

Join Admiral; Fort Lauderdale (FL); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Equity compensation

Job summary

Join Admiral in Fort Lauderdale is seeking an Analytics Data Engineer to shape data infrastructure for decision-making and analytics. You'll design pipelines, data warehouses, and dashboards, ensuring reliable data systems that drive insights for marina partners. Candidates should have over 3 years of experience in data engineering, proficiency in SQL, and familiarity with data pipeline tools like dbt and Airflow. This role offers equity compensation as part of the ownership structure.

Qualifications

• 3+ years of experience in data engineering or analytics engineering.
• Strong proficiency in SQL and data warehousing.
• Experience with data pipeline tools like dbt and Airflow.

Responsibilities

• Design and implement ETL/ELT pipelines from various data sources.
• Create dashboards and self-service analytics tools.
• Implement data quality monitoring and testing.

Skills

SQL proficiency

Data warehousing experience

Python for data processing

Data pipeline tools proficiency

Communication skills

Tools

BigQuery

Snowflake

Redshift

dbt

Airflow

Looker

Tableau

Job description

About the Role

We're looking for an Analytics Data Engineer to build the data infrastructure that powers Admiral's decision‑making, product analytics, and marina intelligence platform. You'll design and maintain the pipelines, warehouses, and dashboards that transform raw operational data into actionable insights. This is a foundational role — you'll shape how Admiral understands its business, measures its impact, and delivers data‑driven value to marina partners. If you love building clean, reliable data systems from the ground up, this is your opportunity.

What You'll Do

• Build Pipelines: Design and implement ETL/ELT pipelines that ingest data from diverse sources—marina systems, communication platforms, payment processors, and IoT sensors. Ensure data is clean, reliable, and available when needed.
• Model Data: Design dimensional models and data marts that make complex operational data accessible and queryable. Build a data warehouse architecture that scales with Admiral's growth into new markets.
• Enable Analytics: Create dashboards, reports, and self‑service analytics tools that empower product, operations, and leadership teams to make data‑driven decisions. Partner with stakeholders to define KPIs and metrics.
• Ensure Quality: Implement data quality monitoring, testing, and alerting. Build trust in Admiral's data by making it accurate, consistent, and well‑documented.

Preferred Qualifications

• 3+ years of experience in data engineering, analytics engineering, or a related role.
• Strong proficiency in SQL and experience with data warehousing (BigQuery, Snowflake, Redshift, or similar).
• Experience with data pipeline tools (dbt, Airflow, Fivetran, or similar).
• Proficiency in Python for data processing and automation.
• Familiarity with BI tools (Looker, Metabase, Tableau, or similar).
• Understanding of data modeling best practices (star schema, dimensional modeling).
• Experience with cloud data platforms (GCP, AWS, or Azure).
• Strong communication skills and the ability to translate business questions into data solutions.

Benefits

Everyone who works at Admiral will be part of the ownership structure through equity compensation.