Data Engineer

SafeRide Health
Remote

About The Position

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.

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

Nice To Haves

  • 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

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

Benefits

  • 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
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