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
Green Courte Residential Holdings LLC is expanding its data capabilities with a Data Engineer I based onsite in Clearwater, Florida. This role supports the data and analytics ecosystem across GCRH and its managed companies, acting as a technical visionary to identify new efficiencies through technology while delivering reliable data pipelines and analytics to inform operations. The position emphasizes hands-on backend Python development alongside building scalable data solutions and fostering data-driven decisions.
Responsibilities
- Identify, design, implement, and manage scalable and reliable data pipelines and monitoring systems.
- Develop a deep understanding of Green Courte and its platform investments' data to rapidly create new data assets or augment existing assets to provide insights into key operational areas.
- Identify opportunities for operational efficiency through automation and system integration.
- Uphold data integrity and establish scalable quality checks and controls.
- Maintain clear data documentation to enable data accessibility for users with varying technical skills; monitor usage to maximize impact.
- Manage 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 strong software engineering fundamentals.
- Experience building Python-based API services using Flask or FastAPI, data processing with Pandas or Polars, and Pydantic-based data validation.
- Experience orchestrating complex data pipelines with Airflow.
- Experience developing event-driven data pipelines using RabbitMQ or SQS.
- Experience sourcing data from third-party APIs and building production-ready data models using dbt or SQLMesh.
- Experience with modern cloud data platforms such as AWS, Azure, GCP, and Snowflake.
- Experience using Git for version control and managing CI/CD pipelines with GitHub.
- Experience working in Linux environments, including shell scripting and operational troubleshooting.
- Experience with observability and structured logging, using Grafana or similar tools.
- Full-stack mindset with willingness to develop across layers to ship data products.
- Excellent communication skills; able to explain 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, lifelong learner with the ability to distinguish between trends and enduring practices 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/Vision Insurance
- Health Savings Account (HSA)
- Flexible Spending Account (FSA)
- Paid Parental Leave
- Short-term Disability
- Long-term Disability
- Industry-leading PTO
- Paid Holidays
- 401k program (including match)
- Tuition reimbursement
- Paid training
- Bonus/Incentive Program
- Employee Assistance Program (EAP)
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