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 offers a collaborative, data driven environment in Clearwater, Florida. This onsite Data Engineer I role provides a competitive annual salary of USD 90,000 to 115,000, a comprehensive benefits package, and opportunities to influence data strategy across Green Courte and its managed companies.
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)
Responsibilities
- Identifying, implementing, and managing efficient, scalable, and reliable data pipelines and monitoring systems
- Developing deep intuition for Green Courte and its platform investments’ data to rapidly create new data assets or augment existing assets to give business insight into key operational areas
- Identifying and implementing operational efficiencies through automation and/or integration
- Insisting on the highest data integrity and establishing scalable quality checks and controls
- Maintaining crisp data documentation to enable data accessibility to users of all technical competencies and monitoring user engagement to maximize impact
- Managing Green Courte’s data catalog and ensuring robust data discoverability for all end users
- Providing ad hoc analytical support and analyses to support strategic decision-making
- Performs other duties as assigned
Requirements
- BS or MS in Computer Science, Information Systems, Mathematics or a related STEM field
- Advanced proficiency in Python and SQL, with strong software engineering fundamentals
- Experience using Python for API services using Flask/FastAPI, Pandas/Polars, and Pydantic-based data validation
- Experience using Airflow to orchestrate complex data pipelines
- Experience developing event-driven data pipelines using tools like RabbitMQ/SQS
- Experience sourcing data from third-party APIs and building production-ready data models using tools like dbt or SQLMesh
- Experience working with modern cloud data platforms like AWS, Azure, GCP, Snowflake, etc.
- Experience using git for version control and experience using GitHub to manage CI/CD pipelines
- Experience working in Linux environments, including shell scripting and operational troubleshooting
- Experience with observability and structured logging, leveraging tools like Grafana
- Full stack mindset; willingness to develop where necessary to ship data products
- Excellent communication skills; able to communicate highly technical solutions to non-technical audiences
- Exceptionally organized and detail-oriented with the ability to work efficiently and accurately under pressure in a fast-paced environment
- Ability to work independently with limited supervision
- Curious spirit and continuous learner; ability to distinguish between fads and trends in data technology
- Collaborative nature and a good 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
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