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Closed on August 31, 2026.
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Data Engineer (Backend Python Development)
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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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