Key skills
Data modelingETL developmentData warehousingAnalytics datastoresCloud warehousing solutionsBIreporting toolsPythonJavaScalaSystem designData architectureOperational workflowsCompliance processesTroubleshootingAnalytical skillsSQLETLData EngineeringData WarehousingAnalyticsTableauSnowflakeBigQueryRedshiftAWSAzureGCPGlueSQL ServerCommunication
About this role
SafeRide Health is a technology and services company dedicated to improving access to care through non-emergency medical transportation. They are seeking a Data Engineer to design, build, and optimize scalable data systems that support data-driven decision-making across the organization.
Responsibilities:
- Design, build, and maintain scalable ETL pipelines and data workflows to support analytics and operational use cases
- Develop and optimize data models and warehouse structures to enable efficient reporting and insights
- Partner with cross-functional teams (Operations, Compliance, Product, BI) to translate business requirements into data solutions, including support for complaints and regulatory processes
- Improve and maintain data quality, integrity, and governance standards across systems
- Optimize query performance, dashboards, and reporting infrastructure for scalability and efficiency
- Contribute to system design discussions, ensuring data architecture supports long-term business needs and growth
- Troubleshoot and resolve data issues, ensuring reliability and accuracy of datasets used across the organization
Requirements:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
- 3+ years of professional experience in data engineering or related roles
- Hands-on experience with data modeling, ETL development, and data warehousing
- Experience with analytics datastores such as Redshift, Snowflake, SQL Server, etc
- Experience working with Cloud warehousing solutions such as AWS Glue, Azure Data Factor, GCP BigQuery, etc
- Experience with BI and reporting tools such as QuickSight, Tableau, or PowerBI
- Proficiency in at least one modern programming language (e.g., Python, Java, Scala)
- Strong problem-solving, troubleshooting, and analytical skills
- Strong understanding of system design and data architecture principles
- Experience supporting operational workflows or compliance-driven processes (e.g., complaints, claims, or regulatory reporting)
- Experience working with multiple database platforms and very large-scale datasets
- Strong communication skills with the ability to work cross-functionally