Data Developer

About the role

SafelyYou’s passionate mission is to empower safer, more person-centered care across senior living through world-leading AI, industry-changing hardware, and remote expert clinicians, significantly improving outcomes for residents while increasing peace of mind for families and reducing costs for communities.

Responsibilities

• Design and build infrastructure for extraction, transformation, and loading of data from various data sources, including care facilities and medical records, using AWS and database technologies
• Develop analytical tools to utilize the data pipeline, providing actionable insight into key metrics for health care professionals and executives, which improve the quality of care
• Work with cross-functional engineering teams, product managers, and other business stakeholders to support their data needs for understanding care trends, improving patient outcomes, and analyzing opportunities to improve services and products
• Ensure data quality and reliability by developing tests and validating results with ongoing monitoring
• Create and maintain technical documentation to help maintain and improve systems
• Collaborate with customer support and operations teams to provide support and participate in on-call rotation as needed

Qualifications

• 3+ years of professional experience in software or data engineering working at a SaaS company, preferably in a startup environment
• Experience building and maintaining data pipelines including ETL or ELT data flows
• Experience with cloud query platforms such as AWS Athena and AWS RDS
• Experience using Python and PySpark for data processing tasks
• Familiarity with workflow orchestration concepts and tools, such as Airflow
• Experience with data analytics and visualization technologies and tools, such as Looker
• Experience writing efficient SQL queries and improving basic PySpark jobs with guidance
• Prioritize quality over speed
• Strong verbal and written communication skills with experience in cross-functional team collaboration
• Proactive about anticipating and addressing issues before they arise
• Working-level proficiency with SQL and database concepts and tools
• Working-level proficiency with data warehouse modeling techniques

Preferred

• Proficiency with extracting data from REST APIs
• Experience with Terraform and Cloud Infrastructure, such as AWS
• Exposure to electronic health records and the associated data privacy regulations
• Experience with HL7 data feeds and the FHIR API specification