Data Engineer (Backend Python Development)
Python
Apache Airflow
Azure
Cloud
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 Pipeline
Data Pipelines
Data Platform
Data Processing
Database
Databases
ETL
Google Cloud
SQL
Job Description
The Data Engineer I will provide strategic and technical support to Green Courte Residential Holdings and its managed companies, building and maintaining the data and analytics ecosystem while acting as a technical visionary to identify new efficiencies through technology. This onsite role is based in Clearwater, FL, with a salary range of USD 90,000–115,000 per year.
Responsibilities
- Identify, design, and manage efficient, scalable data pipelines and monitoring capabilities.
- Develop a strong understanding of Green Courte platform data to rapidly create new data assets or enhance existing ones to inform key operational areas.
- Identify and implement operational efficiencies through automation and integration.
- Uphold data integrity by establishing scalable quality checks and controls.
- Maintain clear data documentation and monitor user engagement to maximize impact across technical skill levels.
- Oversee Green Courte’s data catalog and ensure robust data discoverability for all end users.
- Provide ad hoc analytical support to inform strategic decision-making.
- Perform other duties as assigned.
Requirements
- Bachelor's or master's degree in computer science, information systems, mathematics, or a related STEM field.
- Advanced proficiency in Python and SQL, with solid software engineering fundamentals.
- Experience building Python based API services using Flask or FastAPI, along with Pandas or Polars and Pydantic for data validation.
- Experience with Airflow to orchestrate complex data pipelines.
- Experience developing event-driven data pipelines with RabbitMQ or SQS.
- Experience sourcing data from external APIs and building production-ready data models using dbt or SQLMesh.
- Experience working with cloud data platforms such as AWS, Azure, GCP, Snowflake, and related technologies.
- Experience using Git for version control and GitHub for CI/CD workflow management.
- Experience operating in Linux environments, including shell scripting and operational troubleshooting.
- Experience with observability and structured logging, using Grafana or similar tooling.
- Full stack mindset with willingness to develop across layers to deliver data products.
- Excellent communication skills, with the ability to convey technical solutions to non-technical audiences.
- Highly organized and detail oriented, able to work efficiently under pressure in a fast paced environment.
- Ability to work independently with limited supervision.
- Curious, continuous learner with the ability to distinguish trends from fads in data technology.
- Collaborative team player.
Technologies
- Python
- SQL
- Flask
- FastAPI
- Pandas
- Polars
- Pydantic
- Airflow
- RabbitMQ
- SQS
- dbt
- SQLMesh
- AWS
- Azure
- GCP
- Snowflake
- Git
- GitHub
- Linux
- Grafana
- Docker
- Kubernetes
- Terraform
Benefits
- Medical, dental, and vision insurance
- Health Savings Account
- Flexible Spending Account
- Paid parental leave
- Short-term disability
- Long-term disability
- Industry-leading paid time off
- Paid holidays
- 401(k) plan with employer match
- Tuition reimbursement
- Paid training
- Bonus and incentive program
- Employee assistance program
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