Data Engineer

Reposted 3 Days Ago
Hiring Remotely in United States
Remote
Mid level
Healthtech
The Role
Design, build, and optimize ETL pipelines and data workflows. Collaborate with teams to translate requirements into data solutions, ensuring data quality and efficiency.
Summary Generated by Built In

About the Role

SafeRide Health is seeking a Data Engineer to design, build, and optimize scalable data systems that power critical business insights and operational workflows. This role plays a key part in enabling data-driven decision-making across the organization, including supporting high-impact processes such as complaints tracking and resolution. You’ll work cross-functionally to ensure reliable, efficient, and well-designed data infrastructure that supports SafeRide’s mission to improve access to care.

Job 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

Required Qualifications: • 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
Preferred Qualifications

• 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

Benefits:

We offer a remote-first work environment, competitive compensation, and comprehensive benefits including:
Career growth and development opportunities in a mission-driven organization
Competitive salary, annual bonus opportunities, and equity options
Remote with flexible hours
Comprehensive medical, dental, and vision insurance
401(k) with company match
Generous PTO, paid company holidays, and paid parental leave

About Us: SafeRide Health is a technology and services company dedicated to reducing barriers to care by improving the delivery of non-emergency medical transportation to people across America. SafeRide employs proprietary technology, paired with a nationwide network of vetted transportation providers. This enables payers and health systems to deliver cost-effective, on-demand transportation intelligently, enhancing the patient experience in the process. SafeRide serves the largest Medicare Advantage, Medicaid, and provider programs in the country. Learn more at www.saferidehealth.com.

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The Company
HQ: San Antonio, TX
93 Employees
Year Founded: 2016

What We Do

We appreciate that access to care is a major issue for payors, providers and patients. SafeRide Health is a technology platform that simplifies medical transport, streamlines care coordination and improves patient outcomes. We enable: • On-demand and scheduled medical transport to solve the problem of "no-shows"​ • Tools to engage the patient (increasing treatment adherence) • Analytics to identify and triage "at risk"​ patients (reducing ER admissions) • Finally, we deliver transportation options for both high and low acuity patients

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