Data Engineer – Healthcare Analytics

Job not on LinkedIn

🕒 October 2

🇺🇸 United States – Remote

💵 $80k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SafeRide Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

⚕️ Healthcare Insurance

🚗 Transport

Healthcare • Healthcare Insurance • Transport

SafeRide Health is a company that enhances non-emergency medical transportation (NEMT) through advanced technology and a digitized network, ensuring patients access the right care at the right time. They offer a tech-first, member-centric approach enabling seamless access to transportation services, customizable platforms to fit any health plan, and real-time visibility into rides for reliability and peace of mind. SafeRide Health partners with a broad network of transportation providers to offer nationwide coverage and flexible services, focusing on improving access to life-sustaining care and transforming patient transport experiences.

📋 Description

• Design and implement reusable data models across multiple business and healthcare data domains • Build and optimize data pipelines and reporting architecture using SQL and Python • Develop the data foundation for dashboards, KPI reporting, automation, and data-quality measurement • Partner with analysts and business stakeholders to translate requirements into scalable technical solutions • Help establish data warehouse models and standards that can scale as SafeRide Health grows • Build a scalable Data Warehouse Data Model and reporting foundation • Establish a dashboard catalog and support KPI design and delivery • Improve measurable data quality and create reusable solutions across business domains

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field • 3+ years of professional experience building with SQL and Python • Strong data warehousing and data modeling experience, including star-schema modeling and report design • AWS Data Services (Redshift, Athena, S3, DMS, Glue, SageMaker, etc.) • Experience with workflow orchestration tools like Airflow • Experience building data solutions in a high-scale or high-expectation engineering environment • Demonstrated ownership and ability to design and implement solutions in a rapidly transforming environment • Healthcare Industry experience

🏖️ Benefits

• Competitive salary and annual bonus opportunities • Remote with flexible hours • Comprehensive health, dental, and vision insurance • 401(k) with company match • Generous PTO, 10 paid company holidays, and paid parental leave • Career growth opportunities in a mission-driven organization