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Software Engineer, Data
Not specifiedFull-timeData EngineeringReal EstateFinancial Services
Build and operate data infrastructure, reporting tools, and internal applications that support business operations and decision-making. Work with business stakeholders, the executive team, and development teams to deliver solutions from concept through production.
Responsibilities
- Design and build data pipelines that bring information from company systems into Snowflake using Airflow and dbt.
- Build full-stack internal applications, including React interfaces and Python APIs.
- Develop interactive dashboards for business users.
- Evolve data models and warehouse architecture.
- Create data quality frameworks and automated quality-control processes.
- Contribute to deployment, CI/CD, and monitoring to maintain reliable systems.
- Support AI initiatives across business processes and analytics.
Requirements
- Two to five years of experience building and deploying software from concept through production.
- Strong Python skills for data engineering, backend services, and APIs.
- Hands-on experience with data pipelines and transformations using Airflow, dbt, or similar tools.
- Experience with cloud data warehouses and SQL; Snowflake is preferred.
- Ability to propose and deliver solutions for non-technical stakeholders.
Nice to have
- Experience with Docker, CI/CD, infrastructure as code, and AWS.
- Experience with React, Git, and CI/CD practices.
- Familiarity with HIPAA and protecting health information.
- Strong knowledge of healthcare operations.